{"id":"W7055339229","doi":"","title":"Canadian Media Portrayal of Climate Change: An Investigation of Major Canadian Newspaper Outlets' Coverage of Federal Climate Change Action","year":2018,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Climate change; Government (linguistics); Scale (ratio); Action (physics); Audience measurement; News media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001065138,0.0003046743,0.0002223971,0.01020503,0.006210673,0.003530096,0.0008091196,0.0004157079,0.00519021],"category_scores_gemma":[0.007420821,0.0002550351,0.0002443903,0.01551212,0.001337099,0.001062895,0.001563038,0.0005774728,0.0003547418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02371556,"about_ca_system_score_gemma":0.02270468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985002,"about_ca_topic_score_gemma":0.9935381,"domain_scores_codex":[0.9985896,0.00009032143,0.00005248614,0.0001066504,0.0009067334,0.0002541803],"domain_scores_gemma":[0.9920055,0.001406422,0.001555052,0.0001566363,0.004151213,0.0007251159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003212917,0.0001155586,0.7000328,0.0007069486,0.0001141651,0.001107504,0.2025548,0.0001240378,0.002501155,0.002156065,0.02259031,0.06767546],"study_design_scores_gemma":[0.00000610536,0.00003234813,0.8782423,0.000116166,0.00004996005,0.0001529372,0.0900324,0.0001818684,0.0005123598,0.00005664369,0.03057416,0.00004274247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550637,0.001028607,0.00008775764,0.001610296,0.00005684927,0.0000524805,0.005611448,0.00002571259,0.0364632],"genre_scores_gemma":[0.9915197,0.001437548,0.0001872053,0.0002623328,0.00003814509,0.00002768675,0.001686678,0.00002089602,0.00481961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371556,"threshold_uncertainty_score":0.1720692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950769338861036,"score_gpt":0.1687192752142475,"score_spread":0.1492115818256371,"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."}}