{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008198943,0.00007322396,0.00007823548,0.0001392238,0.0001977477,0.00009722918,0.0002131951,0.0001101112,0.005163904],"category_scores_gemma":[0.0006865589,0.00006236637,0.00003697255,0.0006659575,0.0001845389,0.000438842,0.00002061485,0.0001759577,0.0004040471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825211,"about_ca_system_score_gemma":0.00001682598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005290364,"about_ca_topic_score_gemma":0.00001547407,"domain_scores_codex":[0.9988372,0.00002785918,0.0002239399,0.0004306543,0.0002277631,0.0002525582],"domain_scores_gemma":[0.9993095,0.0002097783,0.00007764217,0.0001994137,0.0001286096,0.00007499309],"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":[0.0004684422,0.001274883,0.1535505,0.000008272572,0.000008391094,0.000003785925,0.001339219,0.003822068,0.4004522,0.1123768,0.00268407,0.3240113],"study_design_scores_gemma":[0.0005443103,0.00006897886,0.9705541,0.000001967183,0.000001412435,0.000003640628,0.0001166996,0.01466269,0.0001058491,0.004793682,0.00905132,0.00009540851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8763095,0.000007518123,0.110069,0.0004210248,0.002121563,0.0003508703,0.000004694526,0.00007335503,0.01064254],"genre_scores_gemma":[0.9959682,6.563096e-7,0.002127276,0.0006357394,0.0001759509,0.000104535,0.000009968364,0.000004826209,0.00097281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8170035,"threshold_uncertainty_score":0.9957455,"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."}}