{"id":"W4365450419","doi":"10.56367/oag-038-10566","title":"How can the health sector support Canada's net-zero ambition?","year":2023,"lang":"en","type":"article","venue":"Open Access Government","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Safety net; Government (linguistics); Commit; Miller; Business; Zero emission; Zero tolerance; Public sector; Health care; Economic growth; Political science; Engineering; Economics; Economy; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01549839,0.00117286,0.0009123416,0.001707366,0.01534598,0.01846587,0.00398578,0.02248152,0.02160266],"category_scores_gemma":[0.05182529,0.0006384419,0.001803785,0.001501107,0.010631,0.01042327,0.008261864,0.01910672,0.005266994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0713646,"about_ca_system_score_gemma":0.4612342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9274212,"about_ca_topic_score_gemma":0.9456671,"domain_scores_codex":[0.9750508,0.003584532,0.0004033658,0.0008750744,0.008375615,0.01171051],"domain_scores_gemma":[0.9282538,0.008156964,0.001530564,0.001139252,0.02516796,0.03575153],"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":[0.00006334318,0.00007151157,0.001559407,0.0002862375,0.0000673868,0.0002270722,0.0007907163,0.0003386349,0.0003385732,0.06262989,0.9047621,0.02886514],"study_design_scores_gemma":[0.0001201385,0.00007115571,0.002500117,0.0008419463,0.0000549834,0.0000865578,0.003724518,0.0004603765,0.0004050703,0.02146589,0.9701267,0.0001425471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0005663181,0.003466574,0.000301251,0.978757,0.004014214,0.00002651862,0.0001536913,0.00006485544,0.01264964],"genre_scores_gemma":[0.0445359,0.01320707,0.003079366,0.8971717,0.003527076,0.00009206608,0.0004216835,0.0001624565,0.03780263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07257885,"threshold_uncertainty_score":0.5177889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102352464381395,"score_gpt":0.3637894726314007,"score_spread":0.2614370082500056,"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."}}