{"id":"W2625186528","doi":"10.29173/cais1030","title":"News Verification Suite: Towards System Design to Supplement Reporters’ and Editors’ Judgements","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Suite; Excellence; Computer science; Journalism; Quality (philosophy); Data science; Online discussion; World Wide Web; Information retrieval; Political science; Sociology; Media studies","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.05274871,0.001338051,0.002043094,0.005035903,0.001868129,0.01104522,0.005388765,0.002902432,0.008757749],"category_scores_gemma":[0.09430691,0.001953259,0.001843624,0.002270229,0.00241836,0.01317386,0.006568657,0.003220174,0.00763229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845898,"about_ca_system_score_gemma":0.007742639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326308,"about_ca_topic_score_gemma":0.002858796,"domain_scores_codex":[0.9668441,0.01534979,0.004080194,0.004600085,0.00830878,0.0008171321],"domain_scores_gemma":[0.9334766,0.02375166,0.004142197,0.01474651,0.02175617,0.002126835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002032608,0.0009971675,0.01157628,0.002454698,0.0006188304,0.001333901,0.00711843,0.02357462,0.03198303,0.09392563,0.05166878,0.772716],"study_design_scores_gemma":[0.0004777366,0.0009380053,0.00312191,0.0008605257,0.000647958,0.001236793,0.001600471,0.5610359,0.09699243,0.09126012,0.2413285,0.0004996565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003015857,0.0001147235,0.9668961,0.0004804913,0.0001232495,0.0005836489,0.0002898057,0.02672837,0.001767757],"genre_scores_gemma":[0.05141817,0.0001775288,0.9370543,0.0004731737,0.0002238632,0.0006553194,0.002325403,0.004092665,0.003579523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05274871,"threshold_uncertainty_score":0.2789652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369360843915904,"score_gpt":0.2656236415169481,"score_spread":0.2286875571253577,"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."}}