{"id":"W3107984592","doi":"10.1111/cag.12661","title":"Cancer risk communication in the news coverage of suspected cancer clusters in Ontario: Contrasting media messaging on cancer by geography","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Occupational Cancer Research Centre; Cancer Care Ontario","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Variety (cybernetics); Newspaper; Health communication; Citizen journalism; Cancer; Risk communication; Information Dissemination; Health Information National Trends Survey; Health literacy; News media; Geography; Environmental health; Public relations; Medicine; Health information; Business; Political science; Computer science; Advertising; Health care; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009252844,0.0002500923,0.000365129,0.001516761,0.004399359,0.002817113,0.0006570024,0.0004607159,0.007738609],"category_scores_gemma":[0.009757989,0.0002763365,0.0002839619,0.003956318,0.001169769,0.001183033,0.001967517,0.0005789495,0.0003258081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.027478,"about_ca_system_score_gemma":0.03164854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9822758,"about_ca_topic_score_gemma":0.9897228,"domain_scores_codex":[0.998492,0.0002467346,0.00008964141,0.0001785645,0.0005788736,0.0004142379],"domain_scores_gemma":[0.9941064,0.001717033,0.001751743,0.0001499117,0.001531625,0.0007433412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004872142,0.00006185014,0.7154313,0.0004749887,0.00008410166,0.0008249705,0.251912,0.0001781827,0.001235962,0.0009240553,0.006809387,0.02157584],"study_design_scores_gemma":[0.00001236302,0.00003461651,0.8656452,0.0001997495,0.00005591333,0.00009889693,0.1243027,0.0001404499,0.0001687974,0.0001837782,0.009119618,0.00003787578],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975364,0.0008117976,0.0001324266,0.003690515,0.00003537462,0.00007217772,0.002536694,0.00001296098,0.01734409],"genre_scores_gemma":[0.9965017,0.0004572215,0.0001077238,0.0002057326,0.00001442797,0.00003181173,0.0004204105,0.000009918079,0.002251065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.027478,"threshold_uncertainty_score":0.1993678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547120022385712,"score_gpt":0.2429245147255264,"score_spread":0.2274533145016693,"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."}}