{"id":"W4235123609","doi":"10.32920/ryerson.14649513","title":"Filtering the Headlines","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Toronto Metropolitan University; York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Objectivity (philosophy); Journalism; Hegemony; Agency (philosophy); Public relations; Politics; Political science; Technical Journalism; Sociology; Subject (documents); Work (physics); Media studies; Citizen journalism; Epistemology; Social science; Law; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.004333281,0.0009338119,0.0004543742,0.001858579,0.007099735,0.008170097,0.0009322708,0.002686976,0.07769351],"category_scores_gemma":[0.02195675,0.000515631,0.0004595341,0.001459949,0.003419787,0.00626072,0.004845793,0.005123656,0.02648157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052364,"about_ca_system_score_gemma":0.002752402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006844445,"about_ca_topic_score_gemma":0.01077868,"domain_scores_codex":[0.9962203,0.00165598,0.0001260234,0.0003162601,0.001318756,0.0003626863],"domain_scores_gemma":[0.9872958,0.005466479,0.001411214,0.001591411,0.003230114,0.001005027],"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":[0.00007386437,0.00001011437,0.0004013048,0.0001440659,0.000005813069,0.0001774322,0.01093587,0.00002621636,0.000702091,0.03076435,0.9048465,0.05191224],"study_design_scores_gemma":[0.000005843236,0.000009609726,0.0003553106,0.0001192648,0.000003285209,0.00007090686,0.002049324,0.00005668746,0.0005405391,0.001517888,0.9952615,0.000009829491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02990223,0.006554641,0.03319624,0.1815228,0.0573469,0.0005837627,0.004813861,0.01070204,0.6753775],"genre_scores_gemma":[0.1769577,0.003405154,0.01812822,0.04463696,0.01220179,0.0004264554,0.002355377,0.00726457,0.7346237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07769351,"threshold_uncertainty_score":0.2599107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083652962728387,"score_gpt":0.3800383803678248,"score_spread":0.271673084094986,"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."}}