{"id":"W2484794433","doi":"10.1097/hmr.0000000000000125","title":"Leading on the edge","year":2016,"lang":"en","type":"article","venue":"Health Care Management Review","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Business; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002224334,0.0004820928,0.0003601072,0.0009744439,0.009278387,0.01149643,0.00136535,0.001918981,0.1109594],"category_scores_gemma":[0.008314858,0.0001908177,0.0003284139,0.001254347,0.004224459,0.004524983,0.0107353,0.003830354,0.03430672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006685184,"about_ca_system_score_gemma":0.02000405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04175796,"about_ca_topic_score_gemma":0.08807026,"domain_scores_codex":[0.9954728,0.0008784843,0.0001010416,0.000452513,0.001332168,0.001762935],"domain_scores_gemma":[0.9913983,0.0006065756,0.0003325212,0.0004850889,0.001855532,0.005321911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004881686,0.00004873201,0.004449758,0.0002279985,0.00001598058,0.0005348712,0.01447918,0.0001897373,0.0003538552,0.1041965,0.6805972,0.1948574],"study_design_scores_gemma":[0.00000359274,0.00001596693,0.0008721144,0.0001709985,0.000004784775,0.0001158965,0.006235479,0.00003800515,0.00006616401,0.006167322,0.9863018,0.000008023979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01245122,0.003052057,0.003134362,0.08139101,0.00577036,0.00008283144,0.0002163133,0.0003992335,0.8935025],"genre_scores_gemma":[0.2759407,0.007533944,0.003557917,0.04243278,0.002104153,0.00009652141,0.0007010537,0.0005312786,0.6671017],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1109594,"threshold_uncertainty_score":0.3711962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04105403963739385,"score_gpt":0.3705268617868991,"score_spread":0.3294728221495053,"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."}}