{"id":"W3124248343","doi":"10.2139/ssrn.3179931","title":"Media, Fake News, and Debunking","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Fake news; Advertising; Internet privacy; Political science; Media studies; Business; Computer science; 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":[0.002459529,0.0003190588,0.00041453,0.005141698,0.002427758,0.005244991,0.000422464,0.002599272,0.01710369],"category_scores_gemma":[0.03584436,0.0002689017,0.0003905089,0.003589471,0.002394533,0.004560002,0.001928766,0.002278298,0.001133106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265902,"about_ca_system_score_gemma":0.0008762613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006434986,"about_ca_topic_score_gemma":0.008077133,"domain_scores_codex":[0.9977749,0.0008933693,0.0001702469,0.0001533305,0.0005906528,0.0004175342],"domain_scores_gemma":[0.9474623,0.02668665,0.01799182,0.001950155,0.003046781,0.002862429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001380475,0.00231486,0.8483649,0.0005625632,0.0003748344,0.001276405,0.01049409,0.0004416949,0.0004356905,0.02298514,0.01232238,0.09904707],"study_design_scores_gemma":[0.00006053127,0.0003094527,0.9469746,0.0005524404,0.000318052,0.0008518817,0.01970715,0.0007117653,0.0004119042,0.0152562,0.01477018,0.00007591417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9008645,0.01215577,0.0001632608,0.01719743,0.0002744701,0.00003443025,0.0007485237,0.0000164678,0.06854515],"genre_scores_gemma":[0.991191,0.005052926,0.00006369275,0.0006857059,0.0004490425,0.00000966589,0.0001331193,0.000007332958,0.002407479],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01710369,"threshold_uncertainty_score":0.0572176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530485227327791,"score_gpt":0.2960383689343024,"score_spread":0.2807335166610245,"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."}}