{"id":"W4224078933","doi":"10.1101/2022.03.31.486635","title":"Irrational choices via a curvilinear representational geometry for value","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Irrational number; Ventromedial prefrontal cortex; Curvilinear coordinates; Value (mathematics); Focus (optics); Psychology; Cognitive psychology; Mathematical economics; Computer science; Geometry; Mathematics; Prefrontal cortex; Cognition; Neuroscience; Physics; Machine learning","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":[0.0007943454,0.0002286152,0.0003182228,0.0005882395,0.0003064297,0.00236941,0.0004937688,0.0004137582,0.004141236],"category_scores_gemma":[0.006782141,0.0003801336,0.0004411419,0.0005629655,0.002146116,0.002979222,0.001372345,0.0009817273,0.0003108285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005249,"about_ca_system_score_gemma":0.0003500936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157522,"about_ca_topic_score_gemma":0.0008563775,"domain_scores_codex":[0.9992612,0.0002683788,0.00003149344,0.0001754751,0.0001938687,0.00006968957],"domain_scores_gemma":[0.9968548,0.001172926,0.0008017392,0.0006726324,0.0003207573,0.0001770897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007191882,0.0001479959,0.05599356,0.0002047801,0.0002662952,0.0006075475,0.002454392,0.08687745,0.1137955,0.6710944,0.002122111,0.06571677],"study_design_scores_gemma":[0.00003320758,0.0001591927,0.05167754,0.00004271068,0.00004480594,0.0004548174,0.0004957031,0.288413,0.01259678,0.6435133,0.002473405,0.00009549179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.835529,0.0001242444,0.1523938,0.001383754,0.00001863208,0.00002833341,0.0003022884,0.0001774529,0.01004245],"genre_scores_gemma":[0.9878669,0.00003283232,0.01154771,0.00003698823,0.000002952469,0.000007652925,0.00004916303,0.00002301041,0.0004329238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004141236,"threshold_uncertainty_score":0.01385385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08935871838574069,"score_gpt":0.3427539607469833,"score_spread":0.2533952423612426,"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."}}