{"id":"W6907788139","doi":"10.25545/gnb97l/dxisel","title":"Over46b.txt","year":2025,"lang":"ja","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint John Regional Hospital; University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001707925,0.002094047,0.001902866,0.001899026,0.0005830131,0.0006439045,0.005525397,0.001737112,0.1172229],"category_scores_gemma":[0.00381124,0.002403494,0.0006296856,0.002384949,0.0007569006,0.001142486,0.005752537,0.002826914,0.6996004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125577,"about_ca_system_score_gemma":0.002745642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222599,"about_ca_topic_score_gemma":0.00153406,"domain_scores_codex":[0.989785,0.000730277,0.001578566,0.003106345,0.002711829,0.002088043],"domain_scores_gemma":[0.9853535,0.0006199713,0.001121494,0.01152409,0.0005886517,0.0007923188],"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":[0.0004412004,0.000939464,0.00001716547,0.001113101,0.001031111,0.001468151,0.00007419226,0.00002137026,0.00006019689,0.0003945387,0.9940693,0.0003702387],"study_design_scores_gemma":[0.00286756,0.0001629395,0.00001491979,0.001508006,0.002370956,0.00005388567,0.0003382257,0.0001792403,0.0000783551,0.00003492552,0.9903311,0.002059961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001895403,0.0001071339,0.00001005047,0.00004129038,0.005127965,0.00137996,0.984041,0.0003317695,0.008941864],"genre_scores_gemma":[0.00001037678,0.001803645,0.0004343574,0.001422466,0.001250062,0.00005758725,0.9775046,0.0001936022,0.01732326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5823775,"threshold_uncertainty_score":0.9998552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356369022531814,"score_gpt":0.275461323974727,"score_spread":0.2618976337494089,"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."}}