{"id":"W17543729","doi":"10.1016/j.ecl.2007.03.007","title":"Book review: Ethical preparedness","year":2003,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Computer science; Data science; World Wide Web; Engineering ethics; Political science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005224833,0.0009187375,0.001148902,0.001577094,0.002881991,0.00594821,0.001880271,0.008890179,0.1478992],"category_scores_gemma":[0.0598544,0.0004865178,0.000756497,0.00122793,0.002222741,0.003245903,0.002523283,0.009404866,0.1225563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002929536,"about_ca_system_score_gemma":0.007671935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079515,"about_ca_topic_score_gemma":0.00455753,"domain_scores_codex":[0.9928907,0.002123179,0.0006073118,0.0004636297,0.003513246,0.0004019347],"domain_scores_gemma":[0.9511405,0.01549396,0.001623384,0.003310752,0.02409017,0.004341278],"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":[0.000002488845,0.000005747007,0.00001435171,0.00003673726,7.802945e-7,0.00004310572,0.00003120233,0.00001138024,0.00002898163,0.001166817,0.9907452,0.007913173],"study_design_scores_gemma":[0.000002516095,0.00000365512,0.00006030618,0.0001042606,8.653798e-7,0.0001008337,0.00004659252,0.00001849242,0.000019178,0.0006118402,0.9990287,0.000002958903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000562608,0.01639408,0.001742713,0.3309864,0.4170215,0.0005586516,0.000383973,0.0006001115,0.23175],"genre_scores_gemma":[0.004806848,0.009544991,0.001680752,0.144822,0.1182066,0.000469785,0.0003653629,0.0003782999,0.7197254],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1478992,"threshold_uncertainty_score":0.4947721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312454495445626,"score_gpt":0.4103578307959883,"score_spread":0.3791123812514257,"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."}}