{"id":"W4389164179","doi":"10.22215/ff/v3.i1.10","title":"Fake news and fact-checking: Combating misinformation and disinformation in Canadian newsrooms and journalism schools","year":2023,"lang":"en","type":"article","venue":"Facts & Frictions Emerging Debates Pedagogies and Practices in Contemporary Journalism","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Disinformation; Misinformation; Journalism; Fake news; Political science; Media studies; Public relations; Sociology; Social media; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01771987,0.0005671624,0.0005565149,0.006161749,0.04795858,0.01940414,0.002853055,0.003256857,0.007845297],"category_scores_gemma":[0.05786982,0.0008301281,0.0003958983,0.00501207,0.01957257,0.004644698,0.007552458,0.00556077,0.0008640156],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07958601,"about_ca_system_score_gemma":0.2007285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8765764,"about_ca_topic_score_gemma":0.9517558,"domain_scores_codex":[0.9791194,0.006701602,0.0005614019,0.001491674,0.007758134,0.004367756],"domain_scores_gemma":[0.8865747,0.03378481,0.0138687,0.003678215,0.02904425,0.03304928],"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":[0.0001535557,0.0001773293,0.04670369,0.0003973967,0.00002808377,0.002037175,0.8529907,0.0001327776,0.001406226,0.01487975,0.02534013,0.05575312],"study_design_scores_gemma":[0.00003891222,0.0001000056,0.04865524,0.0005505782,0.00004797184,0.0003703236,0.6275215,0.0004058112,0.001052719,0.002632075,0.3184531,0.0001717399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7864373,0.003788193,0.003424986,0.06419552,0.001237116,0.0004362288,0.0002810144,0.000288058,0.1399115],"genre_scores_gemma":[0.9760119,0.001100895,0.002249434,0.003845957,0.0001503765,0.00005065385,0.00009576827,0.00005820922,0.01643671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.920414,"threshold_uncertainty_score":0.5774397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388661830258504,"score_gpt":0.4149529551182244,"score_spread":0.276086772092374,"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."}}