{"id":"W2002212980","doi":"10.1371/annotation/5db627f0-4ac8-4d17-827d-a8fef1552b81","title":"Correction: Network Dynamics Underlying Speed-Accuracy Trade-Offs in Response to Errors","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Dynamics (music); 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":[],"consensus_categories":[],"category_scores_codex":[0.0001818633,0.0001356544,0.0002196807,0.00006084771,0.0001393367,0.00009480617,0.0001551683,0.00005144176,0.000315603],"category_scores_gemma":[0.00004129498,0.0001526467,0.00005459212,0.0003805195,0.00002863302,0.0001912059,0.00004012171,0.0002423886,0.0001873608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174143,"about_ca_system_score_gemma":0.00005791719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008214219,"about_ca_topic_score_gemma":0.0001007709,"domain_scores_codex":[0.9989246,0.00008461296,0.0002575136,0.0002214282,0.0001755625,0.000336284],"domain_scores_gemma":[0.9993194,0.0002326178,0.00007751892,0.0002013512,0.00004335296,0.0001257411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006562921,0.003718063,0.8652611,0.00006626443,0.0005330924,0.000009468435,0.00575212,0.03264676,0.007238158,0.03773886,0.007607399,0.03877239],"study_design_scores_gemma":[0.0008886644,0.0003154084,0.5942749,0.0005577358,0.00004310305,5.35295e-7,0.003670958,0.3874117,0.0001347643,0.01121902,0.0006456901,0.0008374903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920631,0.00001020085,0.0007513065,0.002201268,0.0002998788,0.0004253545,0.00001142333,0.00003886246,0.00419859],"genre_scores_gemma":[0.9973639,0.000002295311,0.0008426922,0.0002427163,0.0002414352,0.0000443229,0.00001963013,0.00002193068,0.001221074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3547649,"threshold_uncertainty_score":0.622475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351458762068259,"score_gpt":0.2797320584943753,"score_spread":0.2362174708736927,"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."}}