{"id":"W4408129074","doi":"10.1177/17511437251319971","title":"Book Review: <i>Code Green How the Big Lie in Healthcare Affects Us All</i> by Kellum John KellumJohn. (2024). Code Green How the Big Lie in Healthcare Affects Us All, Conneaut Lake, PA: Page Publishing. 20.00 USD, 192. ISBN: 979-8-89315-139-8 (pbk), ISBN: 979-8-89315-151-0 (digital).","year":2025,"lang":"en","type":"article","venue":"Journal of the Intensive Care Society","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Health care; Code (set theory); Psychology; Computer science; Sociology; Political science; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009978081,0.001307963,0.001458578,0.002938929,0.001172445,0.004323089,0.001907339,0.003069323,0.1514753],"category_scores_gemma":[0.008950881,0.0005880054,0.0008202333,0.003403764,0.0008639959,0.003478931,0.001390673,0.004246274,0.1504864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002227067,"about_ca_system_score_gemma":0.004210581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104598,"about_ca_topic_score_gemma":0.02363489,"domain_scores_codex":[0.9986401,0.0001321258,0.00007821815,0.0001193875,0.000940865,0.0000892959],"domain_scores_gemma":[0.9922545,0.002104007,0.0004211121,0.0001281786,0.004383394,0.0007087046],"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":[0.000002081958,0.000001734189,0.000008126675,0.0000929296,0.000001047922,0.000004459851,0.000005668428,0.000005314282,0.000007063245,0.0001291882,0.9889591,0.01078339],"study_design_scores_gemma":[0.000003503177,0.000007498352,0.000132694,0.0005509655,0.000003302277,0.00007581479,0.00002344984,0.00001394931,0.00001709123,0.0002338106,0.9989304,0.000007494878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002801253,0.4992589,0.000910374,0.1512764,0.1661025,0.0001940531,0.001973278,0.0007724561,0.1792319],"genre_scores_gemma":[0.002018591,0.2642818,0.0008445655,0.05928963,0.04686994,0.0001723593,0.001759625,0.0004121988,0.6243514],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1514753,"threshold_uncertainty_score":0.5067353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985436542718373,"score_gpt":0.2797794942821312,"score_spread":0.2499251288549474,"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."}}