{"id":"W4232902508","doi":"10.1002/9781118841570.iejs0100","title":"Verification","year":2019,"lang":"en","type":"other","venue":"The International Encyclopedia of Journalism Studies","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Crowdsourcing; Computer science; Social media; Journalism; Identity (music); Attribution; Authorship attribution; Plagiarism detection; Internet privacy; Information retrieval; Data science; World Wide Web; Psychology; Artificial intelligence; Political science; Law; Social psychology","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":[0.1169371,0.001450237,0.002030009,0.006392802,0.007999259,0.02190013,0.006507401,0.006948446,0.09812699],"category_scores_gemma":[0.4921117,0.001459418,0.0021201,0.005240072,0.01155955,0.0214688,0.01351676,0.009729872,0.1041984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005989652,"about_ca_system_score_gemma":0.0253535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206656,"about_ca_topic_score_gemma":0.002005148,"domain_scores_codex":[0.8089443,0.05573714,0.02403494,0.01981571,0.08483165,0.006636227],"domain_scores_gemma":[0.4202828,0.1147116,0.02112632,0.1871836,0.2490522,0.007643578],"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":[0.0002759357,0.00006121682,0.001715144,0.001445634,0.00008636941,0.000780001,0.007510714,0.0002690612,0.002376615,0.3453023,0.4208511,0.219326],"study_design_scores_gemma":[0.00003174939,0.00005139947,0.0006018017,0.001043475,0.00004499427,0.0007551272,0.001219317,0.0007172832,0.002932824,0.077177,0.9153219,0.0001030731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008928435,0.004613081,0.2269728,0.1298169,0.07816964,0.003714199,0.006836147,0.008679568,0.5322692],"genre_scores_gemma":[0.2343781,0.00548781,0.1588608,0.03363786,0.01706584,0.004365862,0.007562771,0.008019302,0.5306216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1169371,"threshold_uncertainty_score":0.6184299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373158878490255,"score_gpt":0.3535916300087183,"score_spread":0.3098600412238157,"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."}}