{"id":"W2979898024","doi":"10.1371/journal.pone.0220690","title":"Can knowledge of election results change recall of our predictions? Neural correlates of political hindsight bias","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Ministry of Science and Technology, Taiwan; National Chengchi University","keywords":"Hindsight bias; Recall; Context (archaeology); Functional magnetic resonance imaging; Neural correlates of consciousness; Cognitive psychology; Phenomenon; Inferior frontal gyrus; Psychology; Demographics; Cognition; Neuropsychology; Medicine; Neuroscience; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572232,0.000166503,0.0002411638,0.0003157155,0.0001200902,0.000563159,0.0001782264,0.0004112282,0.001512692],"category_scores_gemma":[0.01423287,0.0002262911,0.0001575283,0.0001540111,0.0005215543,0.000741679,0.0002877369,0.0004532886,0.0001421003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600185,"about_ca_system_score_gemma":0.0001543083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042589,"about_ca_topic_score_gemma":0.001483448,"domain_scores_codex":[0.999561,0.0001406038,0.00002495094,0.0001355698,0.0000865765,0.00005127986],"domain_scores_gemma":[0.9950894,0.002160011,0.001764171,0.0005568474,0.0002346512,0.0001949723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004150502,0.0009580072,0.7190573,0.0003144969,0.0004841662,0.0005814934,0.003776526,0.001754488,0.136801,0.001601488,0.0008883775,0.1296322],"study_design_scores_gemma":[0.00006342999,0.0004568855,0.9880174,0.00001844162,0.0000906277,0.0002621367,0.0003726749,0.001465764,0.006194551,0.002524968,0.0005094687,0.00002358427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978157,0.0001132813,0.0007329501,0.0001192952,0.000008132046,0.0000103643,0.00004216134,0.000009087653,0.001149004],"genre_scores_gemma":[0.9993581,0.0000611095,0.0003247816,0.00004078753,0.00000769304,0.000005687165,0.00003402771,0.000003152785,0.0001645342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001572232,"threshold_uncertainty_score":0.008314908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3300056954283179,"score_gpt":0.3766594115940871,"score_spread":0.04665371616576924,"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."}}