{"id":"W3010198403","doi":"10.1145/3382188","title":"Real or Not?","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Management Information Systems","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Robustness (evolution); Trustworthiness; Internet privacy; The Internet; Third party; Identification (biology); World Wide Web; Function (biology); Content analysis; Advertising; Data science; Business; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003424666,0.0002953534,0.0003139216,0.001025981,0.001525258,0.005363612,0.0005196309,0.002164586,0.08549787],"category_scores_gemma":[0.02530982,0.0001513473,0.0002593411,0.001112686,0.001933069,0.004290901,0.001383242,0.002021566,0.03176562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178094,"about_ca_system_score_gemma":0.001371704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231862,"about_ca_topic_score_gemma":0.003027232,"domain_scores_codex":[0.9968665,0.00123919,0.0001749567,0.0005481205,0.0008100691,0.000361145],"domain_scores_gemma":[0.991552,0.002955255,0.001226521,0.000970149,0.00216096,0.001135233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002204681,0.0001096982,0.04674133,0.0004729923,0.00006018597,0.001531111,0.007678718,0.0001677844,0.0007535823,0.1484437,0.5160056,0.2778147],"study_design_scores_gemma":[0.0000136747,0.00004368073,0.01011443,0.0004839669,0.00002904195,0.001817739,0.009309622,0.0003594406,0.0003995083,0.02837618,0.9490152,0.00003757225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05355662,0.005966424,0.007339941,0.1818213,0.01325818,0.0001799623,0.004623767,0.0003584276,0.7328954],"genre_scores_gemma":[0.6032779,0.008969666,0.00694542,0.05824539,0.004588401,0.0002652345,0.003379537,0.0003453534,0.3139831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08549787,"threshold_uncertainty_score":0.2860188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07055323007304674,"score_gpt":0.3169095271124652,"score_spread":0.2463562970394185,"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."}}