{"id":"W2575199413","doi":"10.5539/ass.v13n2p187","title":"Announcement of Retraction","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Editorial board; Political science; Management; Computer science; Economics; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008597048,0.00005623493,0.0001396192,0.0001230588,0.002107435,0.001985302,0.005011915,0.00008539049,0.0001317533],"category_scores_gemma":[0.008745676,0.00004204492,0.00005031082,0.0006216669,0.001446258,0.004704932,0.0004579106,0.0001920665,0.00007194193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000066488,"about_ca_system_score_gemma":0.0002476273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001430658,"about_ca_topic_score_gemma":0.00001309264,"domain_scores_codex":[0.9964908,0.000043894,0.0003179896,0.0003541366,0.002555031,0.000238119],"domain_scores_gemma":[0.9981961,0.00007260549,0.0006595659,0.0005401302,0.0004426983,0.00008887259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000007629666,0.00002166982,0.01908799,7.930549e-7,0.00000185195,0.000001203999,0.001781061,1.66634e-7,0.003032369,0.04232003,0.0262277,0.9075176],"study_design_scores_gemma":[0.0001050636,0.00001742495,0.8969702,0.000005703515,0.000002347422,0.000001211437,0.002202263,0.0000318037,0.001959138,0.03590044,0.06271911,0.00008526089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06155647,0.000006677664,0.0006221206,0.008728576,0.001249349,0.00006637691,0.00000637843,0.00001194453,0.9277521],"genre_scores_gemma":[0.9974623,0.000002264245,0.0001719801,0.0001127514,0.0002587467,0.000001689779,2.569051e-7,0.000001902754,0.001988049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9359059,"threshold_uncertainty_score":0.9996041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188615025976426,"score_gpt":0.463201601790958,"score_spread":0.3443400991933154,"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."}}