{"id":"W4407240288","doi":"10.1093/haschl/qxaf017","title":"Leveraging stringency and lifecycle thinking to advance environmental sustainability in health technology regulation","year":2025,"lang":"en","type":"article","venue":"Health Affairs Scholar","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Sustainability; Environmental regulation; Process management; Environmental resource management; Business; Knowledge management; Environmental planning; Computer science; Geography; Biology; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02565366,0.0007183559,0.0005129586,0.002093128,0.002917442,0.008927127,0.002779576,0.008762729,0.002881226],"category_scores_gemma":[0.02329327,0.0003924595,0.001550249,0.001514388,0.03560974,0.01826701,0.005001475,0.0132328,0.0004654433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007874486,"about_ca_system_score_gemma":0.007576718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002952227,"about_ca_topic_score_gemma":0.005051779,"domain_scores_codex":[0.9810079,0.01209751,0.000914667,0.001410139,0.003564174,0.001005699],"domain_scores_gemma":[0.9702051,0.02376979,0.001404223,0.001299744,0.002869682,0.0004514855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004137862,0.0000041658,0.00005073909,0.00006143191,0.000002856891,0.00003641946,0.001085479,0.0003469985,0.00006158935,0.9932036,0.002330257,0.0028123],"study_design_scores_gemma":[0.000007184271,0.00001667729,0.0001118813,0.0004019763,0.000008377201,0.00005750463,0.001125322,0.0008596295,0.0002593382,0.8542677,0.1428656,0.00001886161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008674539,0.02370458,0.181729,0.6098885,0.007745735,0.000166984,0.00009631673,0.0001506372,0.1678437],"genre_scores_gemma":[0.6074074,0.02728246,0.08013648,0.2421285,0.01385887,0.0006360722,0.00008557715,0.0002676157,0.02819699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02565366,"threshold_uncertainty_score":0.1356711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504240723524702,"score_gpt":0.3152697716706053,"score_spread":0.3002273644353583,"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."}}