{"id":"W3204025275","doi":"10.5539/ass.v17n10p63","title":"Announcement of Retraction","year":2021,"lang":"en","type":"article","venue":"Asian Social Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Editorial board; Political science; Management; Business; 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":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0173554,0.00005903663,0.0001599467,0.009817816,0.0005364768,0.001010291,0.001516065,0.00006469078,0.0006887286],"category_scores_gemma":[0.02109104,0.00004604906,0.00008895191,0.231844,0.0007529467,0.0007776757,0.0004684904,0.0001471887,0.0001260224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512978,"about_ca_system_score_gemma":0.0008498107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002238895,"about_ca_topic_score_gemma":0.000006467149,"domain_scores_codex":[0.987061,0.0001043236,0.0004039856,0.000523376,0.01149501,0.0004123227],"domain_scores_gemma":[0.9939245,0.0003763654,0.0002022834,0.0003645539,0.004936089,0.000196183],"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":[0.000004193526,0.0001100336,0.009022436,0.000001631664,0.00000261869,0.00001023397,0.0005269044,3.741004e-7,0.05412941,0.02890373,0.007810437,0.899478],"study_design_scores_gemma":[0.0001967104,0.00007335868,0.8323305,0.000003687755,0.000002696913,0.000006850948,0.004315722,0.0001137079,0.04085355,0.02030475,0.1016652,0.0001332219],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1035854,0.000123257,0.002872137,0.004210582,0.001230214,0.00008860916,0.00001693821,0.00001357494,0.8878593],"genre_scores_gemma":[0.9970814,0.00002418323,0.0007005481,0.00008493596,0.000101135,0.000001643008,8.202668e-7,0.000002150515,0.002003204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8993447,"threshold_uncertainty_score":0.9871547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5017406114427908,"score_gpt":0.5929002190179083,"score_spread":0.09115960757511754,"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."}}