{"id":"W3081500909","doi":"10.17269/s41997-020-00352-z","title":"Developing and implementing a targeted health-focused climate communications campaign in Ontario—#MakeItBetter","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Public Health Association","funders":"Ivey Foundation; J.W. McConnell Family Foundation","keywords":"Climate change; Public relations; Public health; Health communication; Framing (construction); Political science; Extreme weather; Health equity; Environmental resource management; Environmental planning; Geography; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005189757,0.00007691536,0.0002362863,0.000275574,0.001143245,0.0001861844,0.0004575645,0.00004944018,0.0003974983],"category_scores_gemma":[0.00037791,0.00008495997,0.00003429764,0.0004336198,0.0001420863,0.0003149056,0.00005345409,0.0004293006,0.000005100868],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002242108,"about_ca_system_score_gemma":0.01544532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6228977,"about_ca_topic_score_gemma":0.9978472,"domain_scores_codex":[0.9973744,0.0009997437,0.0006397216,0.00009835997,0.0001569433,0.0007308613],"domain_scores_gemma":[0.9974934,0.0001108257,0.0004210309,0.0001887269,0.0001668386,0.001619165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000249491,0.00001200651,0.3063832,0.0000369888,0.00001071039,0.000002903103,0.5281148,5.13053e-7,0.000003189978,0.009930783,0.00245362,0.1530488],"study_design_scores_gemma":[0.0003384948,0.00005027339,0.1342382,0.000074656,0.000001044465,0.000003979485,0.04824501,0.00003641847,1.000376e-7,0.0001113604,0.8168139,0.00008653106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2239709,0.002115582,0.0003351776,0.7716195,0.0001023268,0.0002617512,0.00002122439,0.00001280153,0.0015607],"genre_scores_gemma":[0.9576194,0.005749417,0.004125776,0.03234737,0.00008820323,0.000005163919,0.00003881004,0.00001118713,0.00001471516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8143603,"threshold_uncertainty_score":0.9901362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6687760227270789,"score_gpt":0.4636104607154883,"score_spread":0.2051655620115906,"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."}}