{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008962168,0.00374295,0.003238479,0.003881472,0.00292108,0.004346571,0.007411628,0.006675169,0.1833539],"category_scores_gemma":[0.1496058,0.001428411,0.002341665,0.004412266,0.004044144,0.004882289,0.003170211,0.009107175,0.03646703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003702575,"about_ca_system_score_gemma":0.006084885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219827,"about_ca_topic_score_gemma":0.01407058,"domain_scores_codex":[0.9892501,0.00196924,0.002366999,0.002778128,0.002845626,0.0007899751],"domain_scores_gemma":[0.935748,0.0272152,0.004353643,0.009878105,0.02055893,0.002245945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001401657,0.0000593685,0.003245357,0.001650263,0.0005051994,0.001432283,0.0007202512,0.001276632,0.00191821,0.007831017,0.9201552,0.05980464],"study_design_scores_gemma":[0.002753601,0.000639043,0.06189921,0.00551949,0.001480644,0.007296135,0.002293067,0.05288043,0.0170439,0.1230182,0.7239654,0.001210875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.01521236,0.003901646,0.05219582,0.1298406,0.7633319,0.0003987225,0.0125903,0.0106455,0.01188323],"genre_scores_gemma":[0.3759144,0.008607252,0.09818205,0.07489874,0.1643382,0.003197848,0.008067779,0.01076462,0.2560291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1833539,"threshold_uncertainty_score":0.61338,"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."}}