{"id":"W1971537255","doi":"10.1016/j.neuron.2011.04.017","title":"Making Choices between Rules or between Actions","year":2011,"lang":"en","type":"letter","venue":"Neuron","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Action (physics); Computer science; Sensory system; Order (exchange); Neuroscience; Cognitive science; Psychology; Cognitive psychology; Artificial intelligence; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009651218,0.0003293601,0.0003886723,0.0002862827,0.0002263464,0.00007802169,0.0003813087,0.001027748,0.01190966],"category_scores_gemma":[0.00006128398,0.0003001807,0.0001248531,0.0002289953,0.00006243173,0.0002001843,0.00005444715,0.001601377,0.003411839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007743249,"about_ca_system_score_gemma":0.00005361013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001018738,"about_ca_topic_score_gemma":0.0000145503,"domain_scores_codex":[0.9979841,0.0002922234,0.0004619202,0.0005844759,0.0002879638,0.0003893929],"domain_scores_gemma":[0.9984762,0.0003442867,0.0004558856,0.0005907111,0.00008329176,0.00004958779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009252893,0.00001513307,0.0293229,0.00004426825,0.0001022009,0.00003941387,0.0002284652,3.122607e-7,0.000002614852,0.00008573458,0.9569002,0.01324944],"study_design_scores_gemma":[0.0001800367,0.00006945525,0.2026734,0.00002764727,0.0001178126,0.000006226254,0.00001457116,0.000001374054,0.000006129691,0.00007079858,0.796599,0.0002335029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02231881,0.0001462627,0.01037401,0.5937604,0.01423265,0.001772216,0.0009901251,0.002035451,0.3543701],"genre_scores_gemma":[0.04723084,0.00004047191,0.0005175889,0.6881614,0.04376017,0.0001786508,0.00425399,0.0004011466,0.2154558],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1733505,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3113117177616381,"score_gpt":0.398253423365154,"score_spread":0.08694170560351588,"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."}}