{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004405479,0.0001105225,0.0001240405,0.0001888651,0.0005533446,0.0004163608,0.0003683268,0.00007142362,0.0007044006],"category_scores_gemma":[0.00006691967,0.0000956508,0.00005836832,0.0005753404,0.00003918551,0.002704112,0.000006739802,0.000106182,0.002856532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103561,"about_ca_system_score_gemma":0.00005892691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002859473,"about_ca_topic_score_gemma":0.00002345058,"domain_scores_codex":[0.9984626,0.00007766944,0.0004592472,0.00008370627,0.0006818513,0.0002349905],"domain_scores_gemma":[0.9992103,0.00005981953,0.0001565781,0.0002592299,0.00008782352,0.0002262287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009055325,0.0001022055,0.00001821842,0.0007922226,0.0002822764,0.000006616621,0.2985561,0.02407841,0.000007057559,0.1823848,0.06197869,0.4308879],"study_design_scores_gemma":[0.0006041254,0.00007896899,0.0002118643,0.00003373978,0.0000223614,8.116884e-7,0.08886629,0.002126744,0.00002302094,0.00001460818,0.9078441,0.0001733312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002344509,0.000003222613,0.2728084,0.009936581,0.001075454,0.001525457,0.00005494961,0.0007675204,0.7114839],"genre_scores_gemma":[0.9871154,0.0004656054,0.0008591986,0.004983357,0.0001075364,0.00003371215,0.00002578691,0.000007802426,0.006401618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847709,"threshold_uncertainty_score":0.9979199,"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."}}