{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580537,0.000132095,0.0002697297,0.0001241266,0.0002103121,0.00002233536,0.001126874,0.00009397866,0.0005701247],"category_scores_gemma":[0.0006485731,0.00008998447,0.0001078379,0.0001130314,0.0003819802,0.00005062678,0.0001993649,0.0002149034,0.0001359866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008769,"about_ca_system_score_gemma":0.000126595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562857,"about_ca_topic_score_gemma":0.001533759,"domain_scores_codex":[0.9985157,0.0001623416,0.0003081571,0.000130196,0.0007414733,0.000142171],"domain_scores_gemma":[0.9983144,0.0003672124,0.000669049,0.0003469888,0.0002739421,0.00002839423],"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":[0.000006023304,0.0000206231,0.0001294258,0.00001669368,0.0004953893,5.113338e-7,0.0106857,0.000001566729,0.000002642936,0.08029802,0.9040353,0.004308065],"study_design_scores_gemma":[0.0001129311,0.000008670593,0.0001059457,0.0001801809,0.00005508223,6.444613e-7,0.009247887,0.000001945232,0.000001774852,0.001579231,0.9886138,0.00009188601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004634802,0.01879024,0.00001171566,0.03162854,0.004091747,0.0002421401,0.0000179807,0.00003756668,0.9451337],"genre_scores_gemma":[0.001483008,0.3245913,0.0001236528,0.0001594645,0.001450266,0.00002455749,0.000006051094,0.0000527675,0.6721089],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3058011,"threshold_uncertainty_score":0.6242466,"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."}}