{"id":"W2262450756","doi":"10.1038/ncomms10120","title":"Testing necessary regional frontal contributions to value assessment and fixation-based updating","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Value (mathematics); Computer science; Fixation (population genetics); Machine learning; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002984662,0.0002818663,0.0002034646,0.0003227634,0.0001928331,0.0003654318,0.0001596155,0.0003160721,0.003384961],"category_scores_gemma":[0.001360019,0.0001470293,0.0002080832,0.0001197889,0.0007965667,0.0003574767,0.0002347273,0.000342905,0.000154351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614808,"about_ca_system_score_gemma":0.0002145542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937568,"about_ca_topic_score_gemma":0.003330204,"domain_scores_codex":[0.9998652,0.00001476842,0.000008464272,0.00005707614,0.00002722936,0.00002727365],"domain_scores_gemma":[0.9994623,0.0001643481,0.0001840218,0.00009080847,0.00004544992,0.00005306271],"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":[0.004390644,0.0002825555,0.2119263,0.0001809977,0.0001913099,0.0008834018,0.001220576,0.0008500993,0.7442045,0.00127773,0.0002304227,0.03436155],"study_design_scores_gemma":[0.00006792237,0.0005635805,0.9514461,0.00001141017,0.00007327201,0.001336495,0.0002878041,0.001104081,0.04340721,0.001297646,0.0003945928,0.000009905239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976612,0.0001250524,0.001351591,0.00004228466,0.000004347978,0.00001057329,0.0001161799,0.000008140129,0.0006806342],"genre_scores_gemma":[0.9991775,0.00003792052,0.0004994615,0.00001221274,0.000002671424,0.00001006359,0.00005094876,0.000003768975,0.0002054581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003384961,"threshold_uncertainty_score":0.01132375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2196055713803193,"score_gpt":0.4664404215107067,"score_spread":0.2468348501303874,"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."}}