{"id":"W4294916146","doi":"10.1016/j.joclim.2022.100171","title":"Guidance for health professionals seeking climate action","year":2022,"lang":"en","type":"article","venue":"The Journal of Climate Change and Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Climate change; Action (physics); Government (linguistics); Public relations; Health professionals; Public health; Greenhouse gas; Environmental planning; Political science; Business; Psychology; Environmental resource management; Health care; Nursing; Medicine; Environmental science; 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":[0.01629632,0.001424099,0.001515454,0.002769452,0.005147986,0.004426054,0.004077342,0.03579918,0.06702527],"category_scores_gemma":[0.08630505,0.001172606,0.003641934,0.001415938,0.003745589,0.007656286,0.006792,0.02155855,0.02906775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004187896,"about_ca_system_score_gemma":0.03320006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02740725,"about_ca_topic_score_gemma":0.05212673,"domain_scores_codex":[0.9829564,0.01054861,0.001214002,0.0006630808,0.002639449,0.001978562],"domain_scores_gemma":[0.9503057,0.02555757,0.00168326,0.001188132,0.01312508,0.008140142],"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":[0.00002203805,0.0001357635,0.0003211269,0.0004464502,0.000008007912,0.0003950162,0.0015403,0.0001146213,0.0001016867,0.002221709,0.9614176,0.03327563],"study_design_scores_gemma":[0.000202672,0.00008017084,0.001071165,0.005391051,0.00002867472,0.0005452058,0.005568327,0.0002082178,0.0001278873,0.01647766,0.9702182,0.00008083817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008028167,0.01019008,0.006020572,0.8915629,0.01549958,0.001174522,0.0004462871,0.0006949059,0.07360842],"genre_scores_gemma":[0.01292364,0.02278524,0.04186114,0.8463716,0.009144495,0.005477817,0.0008717691,0.0002596462,0.06030474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06702527,"threshold_uncertainty_score":0.2242219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2672879552572469,"score_gpt":0.4459851706814972,"score_spread":0.1786972154242503,"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."}}