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This guides considering Motor as a Type candidate here.\n- The “digit span task” example shows that when a dataset centers on a specific cognitive construct (working memory), Type is set accordingly (“Memory”). In the current dataset, the presence of multiple distinct tasks (motor, n-back, arithmetic) suggests a broader/battery-style purpose rather than a single construct, motivating Type “Other” as a strong alternative.\nNo few-shot example directly matches a multi-task battery with only task names and no stimulus description, so conventions primarily inform how to treat motor vs stimulus-modality and how to handle single-construct vs broad batteries.","metadata_analysis":"Key metadata facts available are sparse and do not explicitly describe diagnosis or stimulus modality.\nQuoted snippets:\n- Title: \"Multimodal dataset from the CMx7-MM Experiment\"\n- Participants: \"Subjects: 30; Sex: {'f': 18, 'm': 12}; Age range: 21-40; Handedness: {'r': 30}\"\n- Task list: \"activemotor\", \"passivemotor\", \"motorimagery\", \"nback\", \"mentalarithmetic\", \"nbackarithmetic\", \"full\".\nFrom these, we can infer a non-clinical adult cohort and a multi-domain task battery, but the stimulus channel (visual/auditory/etc.) is not stated.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: no disorder/diagnosis is mentioned; only general demographics: \"Subjects: 30... Age range: 21-40\".\n- Few-shot pattern suggests: when no clinical recruitment is stated, label as Healthy.\n- Alignment: ALIGN (no explicit clinical population in metadata).\n\nModality:\n- Metadata says: only task names are provided (e.g., \"nback\", \"motorimagery\") with no stimulus description.\n- Few-shot pattern suggests: label Modality by stimulus channel when described (e.g., motor-imagery dataset labeled Visual because screen targets are described). Here, stimulus channel is not described.\n- Alignment: PARTIAL/UNCLEAR (few-shot shows how to decide, but required facts are missing).\n\nType:\n- Metadata says: multiple tasks spanning motor and cognition: \"activemotor\", \"motorimagery\", \"nback\", \"mentalarithmetic\", \"nbackarithmetic\", plus \"full\".\n- Few-shot pattern suggests: if one construct dominates and is clearly the purpose, choose that construct (e.g., digit span -> Memory; motor imagery -> Motor). Here, the dataset appears multi-construct.\n- Alignment: ALIGN with choosing a broad label (“Other”) given multi-task design and lack of a stated primary construct.","decision_summary":"Pathology (top-2):\n1) Healthy — Evidence: no clinical terms anywhere; only general demographics: \"Subjects: 30... Age range: 21-40\" and generic title \"Multimodal dataset...\".\n2) Unknown — Would apply if recruitment details were absent/ambiguous, but here the absence of any disorder framing favors Healthy.\nFinal: Healthy. (Alignment: aligned with few-shot convention for non-clinical cohorts.)\nConfidence: 0.7 (one explicit demographic quote + contextual absence of clinical descriptors).\n\nModality (top-2):\n1) Unknown — Evidence: task names only; no stated stimulus channel; title does not specify sensory modality: \"Multimodal dataset...\".\n2) Visual — Inferred because n-back/motor tasks are often screen-cued, and few-shot motor-imagery example labels Modality based on screen stimuli when described; however, this is not explicitly stated here.\nFinal: Unknown (insufficient metadata to justify Visual/Auditory/etc.).\nConfidence: 0.4 (no direct stimulus-modality quotes; multiple plausible modalities).\n\nType (top-2):\n1) Other — Evidence: heterogeneous battery across domains: \"activemotor\"/\"motorimagery\" and \"nback\"/\"mentalarithmetic\"/\"nbackarithmetic\" plus \"full\" suggests multi-purpose dataset rather than a single construct.\n2) Motor — Also plausible because several motor-focused tasks are included (active, passive, imagery), but cognitive tasks are equally prominent.\nFinal: Other.\nConfidence: 0.6 (supported by task list, but no explicit statement of study aim/primary construct)."}},"author_year":"Ajra2026","canonical_name":null}}