{"id":"W2198116146","doi":"10.1007/s12630-015-0365-4","title":"Using qualitative and mixed methodologies to explore hierarchy in the operating room","year":2015,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Healthcare Quality and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hierarchy; Computer science; Political science","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":[0.08511145,0.0006344307,0.0006962648,0.003907768,0.01069705,0.00803927,0.003601356,0.002995974,0.002699878],"category_scores_gemma":[0.1056813,0.0007753212,0.0006276258,0.003450992,0.01156625,0.008283549,0.009653056,0.005194013,0.0003482049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02006102,"about_ca_system_score_gemma":0.02498957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02797715,"about_ca_topic_score_gemma":0.06440993,"domain_scores_codex":[0.8928728,0.09316801,0.001942607,0.001856054,0.006936858,0.00322376],"domain_scores_gemma":[0.7937114,0.1819162,0.007273543,0.002948353,0.0117511,0.002399459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008748208,0.0001374404,0.004707595,0.001357709,0.00003579202,0.0003722711,0.9324811,0.0002693908,0.0007538038,0.01747988,0.004740766,0.03757684],"study_design_scores_gemma":[0.00002962424,0.00009024639,0.002454601,0.001784048,0.00001605131,0.0001360327,0.9545785,0.0007340186,0.0005188725,0.02062691,0.01898913,0.00004197736],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.689891,0.006730015,0.1298185,0.1143373,0.001331483,0.007410285,0.001248494,0.0001304421,0.04910241],"genre_scores_gemma":[0.9120619,0.002121784,0.06007845,0.01403117,0.0001521107,0.006086526,0.0001926211,0.0000699408,0.005205514],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08511145,"threshold_uncertainty_score":0.4501177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4081282742246137,"score_gpt":0.4755392662495795,"score_spread":0.06741099202496581,"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."}}