{"id":"W3196787998","doi":"10.1186/s41043-021-00262-x","title":"Call for emergency action to limit global temperature increases, restore biodiversity, and protect health","year":2021,"lang":"en","type":"editorial","venue":"Journal of Health Population and Nutrition","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Medical Association","funders":"","keywords":"Global health; Harm; Summit; Global warming; Natural disaster; Political science; Action (physics); China; Development economics; Economic growth; Climate change; Health care; Geography; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003469088,0.001407674,0.001008244,0.001095906,0.002724049,0.008104038,0.002140889,0.01143106,0.09397431],"category_scores_gemma":[0.01608244,0.0005842218,0.001494435,0.0004130813,0.002198401,0.005511323,0.001790619,0.01579418,0.04701559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660815,"about_ca_system_score_gemma":0.00411376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946831,"about_ca_topic_score_gemma":0.005371626,"domain_scores_codex":[0.9973034,0.0004876925,0.0002174359,0.0004469539,0.001258474,0.000286081],"domain_scores_gemma":[0.9837764,0.004904594,0.0008088037,0.0004598003,0.006160194,0.003890155],"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":[0.00001354471,0.000006633986,0.00002617157,0.0001264348,0.000003599791,0.00003380374,0.00002449841,0.000007636684,0.00004432249,0.0004980902,0.9926116,0.006603811],"study_design_scores_gemma":[0.00001045228,0.00001522727,0.0001364714,0.0002304387,0.000006544777,0.00006946574,0.00009788684,0.00002125458,0.00006048229,0.0008561251,0.9984855,0.00001010435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00008271229,0.006714433,0.0002199232,0.2000322,0.781636,0.00003040703,0.0001010287,0.0001412214,0.01104215],"genre_scores_gemma":[0.001943554,0.01259903,0.0005236437,0.1901802,0.7214815,0.00005624682,0.0001533275,0.000193186,0.07286926],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09397431,"threshold_uncertainty_score":0.3143754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06452393707198037,"score_gpt":0.382224146107874,"score_spread":0.3177002090358937,"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."}}