{"id":"W7143875396","doi":"10.34577/0002000287","title":"研究提言：カナダの研究者による研究不正の分析査読論文撤回を 対象とした研究","year":2025,"lang":"","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misconduct; Scientific misconduct; Rigour; Scientific literature; Scientific evidence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00290898,0.0007577382,0.0007821925,0.0004468354,0.006518127,0.0008076978,0.001806311,0.002129717,0.001300678],"category_scores_gemma":[0.005186906,0.0008034855,0.0004374193,0.002330069,0.00422973,0.002831909,0.0008955954,0.0042146,0.0008210296],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505295,"about_ca_system_score_gemma":0.007922763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175082,"about_ca_topic_score_gemma":0.001323186,"domain_scores_codex":[0.9925897,0.0007984996,0.001517362,0.00146158,0.002281442,0.001351427],"domain_scores_gemma":[0.9953734,0.001290773,0.000488719,0.001143404,0.0011509,0.0005527542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002393238,0.0003140077,0.003141502,0.000208397,0.0003326517,0.0002789289,0.002510543,0.00007092104,0.000815278,0.8437207,0.1458911,0.002476623],"study_design_scores_gemma":[0.0007332662,0.00005783028,0.0009202994,0.001474402,0.0003172799,0.00007006658,0.003100293,0.0002773765,0.003377399,0.01049004,0.978358,0.0008237819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02612813,0.01268389,0.02443739,0.02232968,0.0696084,0.001545771,0.003404921,0.0005601468,0.8393016],"genre_scores_gemma":[0.919493,0.00481339,0.003042336,0.003759501,0.01020891,0.000140002,0.001194872,0.00004370556,0.0573043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8933648,"threshold_uncertainty_score":0.999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806422344481797,"score_gpt":0.3118366118131577,"score_spread":0.2937723883683398,"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."}}