{"id":"W2136623844","doi":"10.1016/j.cognition.2012.04.004","title":"Are we good at detecting conflict during reasoning?","year":2012,"lang":"en","type":"article","venue":"Cognition","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Neglect; Social psychology; Base (topology); Cognitive psychology; Personality","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001286107,0.0001321864,0.0002112139,0.0001831436,0.0004000642,0.0002086016,0.0002352177,0.0001051741,0.0008350984],"category_scores_gemma":[0.002009254,0.0001124486,0.0001139517,0.0002765069,0.00004608391,0.0005654581,0.0001737239,0.0001414158,0.002860922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009581472,"about_ca_system_score_gemma":0.000009922288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002365744,"about_ca_topic_score_gemma":0.00002113698,"domain_scores_codex":[0.998327,0.00008849839,0.0004441494,0.0003345094,0.0004633429,0.0003424845],"domain_scores_gemma":[0.9982755,0.0005456706,0.0004968651,0.0003359377,0.0001787555,0.0001672438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001688402,0.00022284,0.2847674,0.00001345157,0.00002199167,0.00003720294,0.001499817,0.00004053521,0.01367001,0.00008582284,0.002684223,0.6967879],"study_design_scores_gemma":[0.002508748,0.0001322311,0.6734147,0.0006735623,0.0001757135,0.0006293098,0.007326601,0.0009004547,0.1458172,0.02153809,0.1454737,0.001409733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889344,0.0002480631,0.0002360399,0.0001185099,0.0006667842,0.00009824395,0.00001750559,0.00008769202,0.009592736],"genre_scores_gemma":[0.998319,0.00001735728,0.0003008243,0.000109593,0.000258366,0.00001109441,0.000003928585,0.00001655727,0.0009632224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6953781,"threshold_uncertainty_score":0.9979154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190739469158143,"score_gpt":0.4017150704402387,"score_spread":0.1826411235244244,"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."}}