{"id":"W2161566213","doi":"10.1177/0956797610378307","title":"A Functional Role for Motor Simulation in Identifying Tools","year":2010,"lang":"en","type":"article","venue":"Psychological Science","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Embodied cognition; Psychology; Cognition; Neuropsychology; Identification (biology); Cognitive psychology; Task (project management); Orientation (vector space); Human–computer interaction; Cognitive science; Computer science; Artificial intelligence; Neuroscience; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009929442,0.0006895448,0.0003572119,0.0004216894,0.0002499376,0.001260805,0.0005336234,0.0007848035,0.004043739],"category_scores_gemma":[0.008225223,0.000363241,0.0004711645,0.000215528,0.001388382,0.00212356,0.001090511,0.0007026106,0.0005598555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574269,"about_ca_system_score_gemma":0.0006115297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005027389,"about_ca_topic_score_gemma":0.0002845564,"domain_scores_codex":[0.9993038,0.0002395159,0.00007870945,0.0001555059,0.000152206,0.00007012991],"domain_scores_gemma":[0.995591,0.002112671,0.0006687259,0.001117205,0.000235067,0.0002752288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008258768,0.0001670346,0.01310772,0.0003511255,0.00007566312,0.0005557974,0.001178949,0.002906273,0.9303654,0.01108304,0.0001598443,0.03922335],"study_design_scores_gemma":[0.0005544333,0.003237346,0.2723607,0.0002695886,0.0004025291,0.009728125,0.001571009,0.1031691,0.5422925,0.05576656,0.01044173,0.0002063647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901545,0.0005627561,0.08383378,0.0004338382,0.00008115285,0.00005790983,0.00009065419,0.0004978934,0.01289696],"genre_scores_gemma":[0.988487,0.0001095176,0.01075211,0.00002272537,0.000005983717,0.00001810989,0.00006825077,0.00003980839,0.0004964555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004043739,"threshold_uncertainty_score":0.01352763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1689419455158858,"score_gpt":0.4415845474117898,"score_spread":0.272642601895904,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}