{"id":"W3046438844","doi":"10.1101/776047","title":"Responses to heartbeats in ventromedial prefrontal cortex contribute to subjective preference-based decisions","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; European Commission; Canadian Institute for Advanced Research","keywords":"Ventromedial prefrontal cortex; Psychology; Preference; Cognitive psychology; Magnetoencephalography; Functional magnetic resonance imaging; Perception; Encoding (memory); Cognition; Prefrontal cortex; Electroencephalography; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003300096,0.0001644678,0.0001326706,0.0001150147,0.00006356157,0.0003251756,0.0001053997,0.0001965618,0.001996125],"category_scores_gemma":[0.003041034,0.0001633379,0.0001680213,0.00007672733,0.0002623959,0.0001733688,0.0001945045,0.000298069,0.0000993619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080525,"about_ca_system_score_gemma":0.00009075236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167006,"about_ca_topic_score_gemma":0.001419551,"domain_scores_codex":[0.9999256,0.00001846158,0.000003857746,0.00002843999,0.00001516034,0.00000848346],"domain_scores_gemma":[0.9993123,0.0003414658,0.0001884024,0.0000561286,0.00003932997,0.00006237983],"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":[0.002715413,0.0003273416,0.1404685,0.0003898004,0.0003085871,0.000376222,0.0008778589,0.005920826,0.7524866,0.001790981,0.002128188,0.09220967],"study_design_scores_gemma":[0.0000586079,0.0002342553,0.9756129,0.00001904601,0.000042395,0.0001524633,0.00006835537,0.01144211,0.009703774,0.0021457,0.0005020442,0.0000182882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993148,0.0002309807,0.005076972,0.0002489089,0.00002717454,0.00002158255,0.0002116678,0.00003574572,0.0009989209],"genre_scores_gemma":[0.9982517,0.0001054761,0.001029496,0.00006488088,0.00002374755,0.0000132126,0.00005913159,0.00001447176,0.0004377723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001996125,"threshold_uncertainty_score":0.006677747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305286211767996,"score_gpt":0.2683352488765951,"score_spread":0.2378066276997955,"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."}}