{"id":"W2156653318","doi":"10.1017/s0140525x04340021","title":"Plans for action","year":2004,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Action (physics); Computer science; Kinematics; Action selection; Selection (genetic algorithm); Cognitive science; Dorsum; Neuropsychology; Neurophysiology; Psychology; Artificial intelligence; Cognitive psychology; Neuroscience; Cognition; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001258831,0.00004670983,0.00004640315,0.00003570257,0.0003070804,0.00007676152,0.00007660034,0.0000189969,0.00000684108],"category_scores_gemma":[0.00005413789,0.00003371132,0.0000165005,0.0001058926,0.0001598731,0.0002544876,0.000009655137,0.00002333411,0.00000388456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006907975,"about_ca_system_score_gemma":0.00002486873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005607008,"about_ca_topic_score_gemma":0.00006727215,"domain_scores_codex":[0.9994749,0.00001090632,0.00006569865,0.0002014581,0.0001222964,0.0001247528],"domain_scores_gemma":[0.9998379,0.00005725284,0.00002825016,0.00003179231,0.000007818076,0.00003703512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001417878,0.00004934741,0.0003178942,0.000003130017,1.35393e-7,0.000001527518,0.0002051889,0.00005101248,0.9431646,0.01308678,0.00003972027,0.04306645],"study_design_scores_gemma":[0.007694358,0.00659722,0.1487047,0.00009867502,0.00005873652,0.0001802078,0.002421607,0.004155244,0.6559654,0.1102328,0.06256598,0.001325064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944885,0.000008758617,0.001966195,0.002994703,0.0001613579,0.0001515777,0.00001350612,0.00003229816,0.0001830923],"genre_scores_gemma":[0.9986217,0.00000401091,0.0005033175,0.0005279979,0.00004814575,0.00002095172,6.898602e-7,0.000001789996,0.000271397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2871992,"threshold_uncertainty_score":0.2361845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1847921144887323,"score_gpt":0.3736336819698644,"score_spread":0.1888415674811321,"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."}}