{"id":"W1969948913","doi":"10.1108/01437730210445829","title":"Managerial intervention in disputes: the role of cognitive biases and heuristics","year":2002,"lang":"en","type":"article","venue":"Leadership & Organization Development Journal","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Heuristics; Intervention (counseling); Rationality; Cognitive bias; Cognition; Outcome (game theory); Selection (genetic algorithm); Psychology; Positive economics; Social psychology; Cognitive psychology; Political science; Economics; Microeconomics; Computer science; Law","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":[0.0005023815,0.00008469433,0.0002231414,0.0001864893,0.0001337638,0.000110119,0.0001232969,0.00006277098,0.0006286819],"category_scores_gemma":[0.0007537761,0.00009478316,0.00002881462,0.0002543972,0.00009102016,0.0002085581,0.00003299699,0.0001236132,0.00008689382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008474632,"about_ca_system_score_gemma":0.00001211162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002764613,"about_ca_topic_score_gemma":0.00005803787,"domain_scores_codex":[0.9988357,0.00003688294,0.0007733773,0.0001514495,0.00003862524,0.0001639429],"domain_scores_gemma":[0.9992036,0.0001191076,0.0005084788,0.00006099255,0.00006070804,0.00004707596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002138128,0.000232673,0.9237347,0.00005710258,0.0001397427,0.000006138152,0.02631474,0.00005238986,0.00001366089,0.03495022,0.0003892414,0.014088],"study_design_scores_gemma":[0.00680733,0.0002615314,0.8529228,0.001912371,0.00005753481,0.0002015431,0.05667352,0.004693843,0.002851048,0.06022277,0.01206638,0.001329357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763515,0.006044602,0.009756782,0.00136889,0.001016511,0.0003572766,0.00002291509,0.00002473183,0.005056798],"genre_scores_gemma":[0.9989963,0.0003697296,0.0001239499,0.0001305127,0.0001743867,0.000002545253,0.00001295158,0.00001789818,0.0001717532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07081193,"threshold_uncertainty_score":0.6883626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0648021800821702,"score_gpt":0.2130148727223786,"score_spread":0.1482126926402084,"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."}}