{"id":"W4303685495","doi":"10.5539/ass.v18n11p1","title":"Announcement of Retraction","year":2022,"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":"","keywords":"Business","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":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01134271,0.00004935423,0.0001206743,0.0002255725,0.001474363,0.0003425909,0.002870722,0.00003331227,0.0008903369],"category_scores_gemma":[0.001901174,0.00004166153,0.00004985695,0.004029832,0.000492465,0.001619019,0.0006869912,0.0003140057,0.00002521707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877718,"about_ca_system_score_gemma":0.0003524213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007012867,"about_ca_topic_score_gemma":0.000002591078,"domain_scores_codex":[0.9947963,0.0001447079,0.0003495357,0.0003560456,0.004119893,0.0002335446],"domain_scores_gemma":[0.999041,0.0001075501,0.0003327552,0.0002125393,0.0002384025,0.00006771934],"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":[0.00002008454,0.00007166047,0.007049878,8.65243e-7,0.000002858583,0.000002450362,0.007308727,0.00001103758,0.005061125,0.06939358,0.1124793,0.7985985],"study_design_scores_gemma":[0.0002264326,0.000102215,0.2727848,0.000002190463,0.000004840262,0.000008692741,0.03879027,0.0001612551,0.001311637,0.06412281,0.6222844,0.0002005],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07667872,0.000019651,0.0006341282,0.008521835,0.001685773,0.0001115919,0.00002465116,0.00002390526,0.9122998],"genre_scores_gemma":[0.9975599,7.863184e-7,0.00009921101,0.0003263936,0.0001248467,0.000008033418,0.000001013745,0.000002124174,0.001877676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9208812,"threshold_uncertainty_score":0.9998256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08091516469636528,"score_gpt":0.4205229169883401,"score_spread":0.3396077522919748,"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."}}