{"id":"W7099267569","doi":"","title":"HEC Montreal DEVIANCE FROM IDEAL: WHEN HOMOGENEOUS BOARDS MAKE MISTAKES","year":2016,"lang":"en","type":"article","venue":"","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deviance (statistics); Harm; Homogeneous; Association (psychology); On board","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007389477,0.0006424675,0.001116905,0.001485332,0.001979996,0.003696627,0.001498602,0.00273893,0.01255382],"category_scores_gemma":[0.05866704,0.0004026869,0.0005864131,0.001555112,0.005960665,0.004428845,0.002482826,0.002933695,0.001142268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750327,"about_ca_system_score_gemma":0.002243659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170087,"about_ca_topic_score_gemma":0.006565851,"domain_scores_codex":[0.9914982,0.002861874,0.0005897909,0.0016734,0.002112292,0.001264429],"domain_scores_gemma":[0.9594643,0.01923129,0.008210802,0.006588254,0.004322986,0.002182317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000633431,0.0002389047,0.0583987,0.000266707,0.0001926219,0.001370624,0.002425072,0.06069801,0.002000956,0.7597111,0.02336439,0.09069946],"study_design_scores_gemma":[0.00009356169,0.0002605393,0.03681305,0.0001507128,0.00004423454,0.0005589853,0.001756013,0.14409,0.001695851,0.7943827,0.02000402,0.0001503658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.512284,0.001648301,0.2774839,0.0218986,0.0009137349,0.0003642093,0.0008752702,0.0004805727,0.1840513],"genre_scores_gemma":[0.9719254,0.0002846856,0.01569847,0.0008605481,0.0001690352,0.0001184924,0.0001920219,0.00007054384,0.01068084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255382,"threshold_uncertainty_score":0.04199666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021921205321805,"score_gpt":0.1872916085342325,"score_spread":0.1770723964810144,"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."}}