{"id":"W2046465347","doi":"10.1108/10878570010348576","title":"May the worst man win","year":2000,"lang":"en","type":"article","venue":"Strategy and Leadership","topic":"Leadership and Management in Organizations","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advantage Forensics (Canada)","funders":"","keywords":"Nike; Knight; Premise; IBM; Watson; Management; Computer science; Advertising; Operations research; Business; Artificial intelligence; Engineering; Economics; Philosophy; Epistemology","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":[0.002756114,0.0008670255,0.000573817,0.0009437667,0.009208913,0.01144959,0.0009152797,0.004330749,0.09299777],"category_scores_gemma":[0.008504163,0.0003071006,0.0003443356,0.0005203134,0.005914561,0.009379094,0.006604675,0.006504371,0.03050026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002674471,"about_ca_system_score_gemma":0.002755746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544776,"about_ca_topic_score_gemma":0.007495156,"domain_scores_codex":[0.9969208,0.0007529319,0.00008128082,0.000509213,0.0008408635,0.0008949777],"domain_scores_gemma":[0.9980817,0.0003013155,0.0001555999,0.0001952029,0.0003913569,0.0008748091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006309157,0.00004607231,0.00129767,0.0000416691,0.00002110958,0.0003386346,0.002061373,0.0001145949,0.0001562814,0.4941548,0.4565266,0.04517822],"study_design_scores_gemma":[0.000007514746,0.00002832665,0.0003371848,0.00006895535,0.000006369514,0.0003109345,0.002553575,0.00008654128,0.00009919793,0.07762216,0.9188653,0.00001404698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009587962,0.005353331,0.004090528,0.2486086,0.01937194,0.00005821302,0.0001686279,0.0002010935,0.7125598],"genre_scores_gemma":[0.1973191,0.004132737,0.001592429,0.09571899,0.006181579,0.00007099915,0.0001630104,0.0002180118,0.6946031],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09299777,"threshold_uncertainty_score":0.3111085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09989198864545762,"score_gpt":0.2300183298005634,"score_spread":0.1301263411551058,"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."}}