{"id":"W3139001056","doi":"","title":"Real or Not? Identifying Untrustworthy News Websites using Third-Party Partnerships","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Third party; Robustness (evolution); Trustworthiness; Internet privacy; Advertising; The Internet; Identification (biology); Content analysis; Computer science; Function (biology); World Wide Web; Business; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004756854,0.0003707786,0.0006179988,0.006833016,0.001140853,0.004708346,0.0005711039,0.001141237,0.001727292],"category_scores_gemma":[0.0370102,0.0002366867,0.0003895407,0.005190887,0.0009281581,0.005199846,0.00153028,0.00108775,0.0007488407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306504,"about_ca_system_score_gemma":0.001259549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004141848,"about_ca_topic_score_gemma":0.005509737,"domain_scores_codex":[0.9968443,0.001519715,0.0002283048,0.0004021017,0.0007647739,0.0002408821],"domain_scores_gemma":[0.954868,0.02800722,0.009688575,0.002937972,0.003377443,0.001120826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00046464,0.0007381119,0.7389075,0.0003948014,0.0002023717,0.0008980238,0.004749082,0.0131185,0.00261527,0.01947229,0.003762502,0.2146769],"study_design_scores_gemma":[0.00005578185,0.0004384331,0.3341985,0.000542241,0.0002485908,0.001791528,0.01889019,0.5573284,0.01284048,0.05598458,0.01749737,0.0001838702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931405,0.0006771651,0.0477856,0.001720586,0.00003398395,0.000216131,0.0006815239,0.0001910561,0.017289],"genre_scores_gemma":[0.9841685,0.0002383693,0.01441676,0.0000697567,0.00002059842,0.00004586665,0.000329104,0.00001359993,0.000697481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006833016,"threshold_uncertainty_score":0.02515692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389043490059367,"score_gpt":0.3630599467210031,"score_spread":0.2241555977150664,"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."}}