{"id":"W2907031450","doi":"10.1017/s0266462318001204","title":"OP83 Thinking Explicitly About Ethical Issues In Health Technology Assessment: Lessons From The Canadian Agency For Drugs And Technologies In Health","year":2018,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliberation; Engineering ethics; Ethics of technology; Information ethics; Agency (philosophy); Health technology; Ethical issues; Presentation (obstetrics); Medicine; Health care; Psychology; Sociology; Meta-ethics; Political science; Social science; Politics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.262202,0.001227779,0.00162078,0.006046278,0.04080059,0.03635063,0.007780054,0.01958928,0.005640325],"category_scores_gemma":[0.263686,0.001409733,0.001945487,0.007587669,0.08457483,0.01605825,0.01863493,0.03767877,0.0009964677],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2153003,"about_ca_system_score_gemma":0.5194203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8680739,"about_ca_topic_score_gemma":0.9023451,"domain_scores_codex":[0.7155849,0.17121,0.01098868,0.008148017,0.07811903,0.01594953],"domain_scores_gemma":[0.4299944,0.3748711,0.01194937,0.01240297,0.1375726,0.03320958],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009401452,0.0001031099,0.004329288,0.00255548,0.0001077328,0.001403541,0.1493239,0.0009973081,0.0004319011,0.3771218,0.3110715,0.1524605],"study_design_scores_gemma":[0.00005645219,0.00005434942,0.004667486,0.008459583,0.00008072225,0.000542584,0.06735357,0.0006763389,0.000374799,0.09833268,0.8191171,0.0002844202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003349572,0.0191225,0.004713509,0.9286622,0.002047819,0.0001628046,0.0000558265,0.00004189302,0.04184387],"genre_scores_gemma":[0.3407481,0.05163121,0.03878726,0.5401894,0.002935225,0.0007542215,0.0001686335,0.0002600189,0.02452589],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7846997,"threshold_uncertainty_score":0.9101404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866980330204126,"score_gpt":0.5229422609455906,"score_spread":0.3362442279251781,"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."}}