{"id":"W2949990438","doi":"10.1145/3292500.3330709","title":"MediaRank","year":2019,"lang":"en","type":"article","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Popularity; Distrust; Reputation; Computer science; Ranking (information retrieval); Quality (philosophy); Politics; German; News media; Social media; Rank (graph theory); Internet privacy; World Wide Web; Political science; Advertising; Public relations; Information retrieval; Data science; Business; History; Mathematics","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":[0.002320062,0.002313739,0.00169125,0.0069665,0.001946895,0.00816245,0.002730783,0.002013569,0.2024904],"category_scores_gemma":[0.01643141,0.001194588,0.001385405,0.006540223,0.0008160049,0.007544134,0.003933225,0.001749834,0.1817836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068501,"about_ca_system_score_gemma":0.00207545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334656,"about_ca_topic_score_gemma":0.007796658,"domain_scores_codex":[0.9955455,0.0008297252,0.0003684563,0.0007613133,0.001994723,0.0005001388],"domain_scores_gemma":[0.9938981,0.001896256,0.0004790462,0.001906861,0.001420012,0.0003998081],"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":[0.0002751933,0.00008324598,0.002116727,0.0008716591,0.00007574841,0.0001270772,0.000156312,0.002116164,0.001104723,0.03217621,0.7620745,0.1988224],"study_design_scores_gemma":[0.0001230566,0.00007613274,0.0007941636,0.000155917,0.00003602916,0.0002297425,0.00009220702,0.01050563,0.002286303,0.02969865,0.955932,0.0000702199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007786904,0.004195499,0.1007042,0.003177282,0.003072163,0.0009893063,0.1398112,0.2862776,0.453986],"genre_scores_gemma":[0.1020765,0.005017529,0.1635968,0.00339486,0.002360804,0.001536361,0.3601361,0.04905288,0.312828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2024904,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206348583185797,"score_gpt":0.3154065968005179,"score_spread":0.30334311096866,"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."}}