{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006053431,0.001337903,0.002734337,0.0004143856,0.001108899,0.001992085,0.003737121,0.001172574,0.00005123983],"category_scores_gemma":[0.009040882,0.0008191884,0.001956571,0.00285238,0.0009011175,0.002978013,0.00209781,0.005533055,0.00003237417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402211,"about_ca_system_score_gemma":0.001361418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02150199,"about_ca_topic_score_gemma":0.03467881,"domain_scores_codex":[0.9906085,0.001502254,0.002149353,0.001244644,0.0015871,0.002908204],"domain_scores_gemma":[0.9864371,0.002087855,0.003527873,0.001860912,0.005691484,0.0003947573],"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":[0.0001265066,0.00008074672,0.01243275,0.004090859,0.0004506151,0.0001092029,0.0007842306,0.00008659913,0.00003961601,0.0003332902,0.9772575,0.004208018],"study_design_scores_gemma":[0.001939222,0.0001993734,0.005239511,0.004274645,0.0002823153,0.000113211,0.008366399,0.0006956565,0.000008822539,0.0005050826,0.9776319,0.0007439054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01555655,0.1936318,0.00002250797,0.7818778,0.004910834,0.002471963,0.0006166345,0.00009670565,0.0008152211],"genre_scores_gemma":[0.1402768,0.0590524,0.00001794869,0.7934132,0.003441553,0.0001232327,0.0002383928,0.0001506945,0.003285786],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1345794,"threshold_uncertainty_score":0.9999372,"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."}}