{"id":"W4242643182","doi":"10.3410/f.1025329.298869","title":"Faculty Opinions recommendation of Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action.","year":2005,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Premotor cortex; Dorsum; Selection (genetic algorithm); Action (physics); Action selection; Neuroscience; Cortex (anatomy); Computer science; Psychology; Artificial intelligence; Biology; Anatomy; Physics","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001293965,0.0003373488,0.0007049762,0.000932398,0.0001869199,0.0000445856,0.0006184052,0.0003828892,0.00009645927],"category_scores_gemma":[0.01768376,0.0002571924,0.00027956,0.003175252,0.0004630353,0.0006662919,0.0001605526,0.00077276,0.000002792842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095537,"about_ca_system_score_gemma":0.0003079092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001267933,"about_ca_topic_score_gemma":0.00004332405,"domain_scores_codex":[0.9952952,0.0006501539,0.001968829,0.0006811525,0.001175604,0.0002290476],"domain_scores_gemma":[0.9923679,0.0008693722,0.003103981,0.0005566337,0.002981187,0.0001208956],"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":[0.0002103855,0.001819948,0.0008197734,0.003233526,0.00003407142,9.056473e-8,0.0004044509,0.000004551534,0.009731586,0.0002739715,0.9533501,0.03011752],"study_design_scores_gemma":[0.000748046,0.0002612543,0.09148493,0.004320834,0.00009440164,0.0000348402,0.00009703121,0.0003749458,0.006373417,0.00001563929,0.8959857,0.0002089645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00179346,0.000239863,0.0001540698,0.007572362,0.001494739,0.001414523,0.9872693,0.00002338565,0.00003825321],"genre_scores_gemma":[0.02287628,0.0008079536,0.0002955328,0.0002946173,0.000121249,0.00007307126,0.9752645,0.00001656705,0.0002501679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09066515,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07865657106989096,"score_gpt":0.3725307769227833,"score_spread":0.2938742058528924,"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."}}