{"id":"W2802758373","doi":"10.7202/1044935ar","title":"Not all Natural Disasters are Covered Equal: A Focus on Canadian Media","year":2018,"lang":"en","type":"article","venue":"Revue Gouvernance","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural disaster; Liberian dollar; Media coverage; Government (linguistics); Advertising; Political science; Business; Geography; Media studies; Finance; Sociology; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002930429,0.0004476227,0.0004282932,0.004242133,0.01436312,0.007921867,0.001293645,0.0008721295,0.005156995],"category_scores_gemma":[0.0183034,0.0003450046,0.0002575613,0.0092678,0.005634148,0.003757126,0.003789895,0.001574132,0.0001488095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05709529,"about_ca_system_score_gemma":0.09101143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875503,"about_ca_topic_score_gemma":0.9919053,"domain_scores_codex":[0.9961541,0.0006285292,0.0000930111,0.00032308,0.001611689,0.001189574],"domain_scores_gemma":[0.986924,0.004659323,0.00173752,0.000358302,0.004174063,0.002146895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002060448,0.00006341164,0.1162872,0.001010074,0.00009838132,0.0009968621,0.7647244,0.0002937502,0.001750377,0.01853746,0.02244969,0.07358238],"study_design_scores_gemma":[0.000009792535,0.00003008628,0.1779377,0.0008300457,0.00007381618,0.0002000358,0.7036957,0.0002052664,0.0004102786,0.0006460396,0.1158761,0.0000852193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532512,0.007406485,0.0006708613,0.0332389,0.0003327392,0.000108564,0.001864361,0.00004022505,0.1030866],"genre_scores_gemma":[0.9920758,0.003273271,0.0001500653,0.001594261,0.00004269363,0.00002189795,0.0002364494,0.00002274261,0.002582861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05709529,"threshold_uncertainty_score":0.4142572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731213548995281,"score_gpt":0.2771783378312585,"score_spread":0.2498662023413057,"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."}}