{"id":"W4416596906","doi":"10.5256/f1000research.15663.d213048","title":"DataKey.txt – description of data fields; UKCTOCS TVC audit data biprobit format-0.csv; UKCTOCS TVC audit data biprobit format-0.dta; UKCTOCS TVC audit data do file.do.","year":2018,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CReATe Fertility Centre","funders":"","keywords":"Audit; Data collection; Information technology audit; Audit plan; Data processing","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.04214148,0.005531433,0.007480763,0.006654205,0.003042382,0.004198263,0.1442364,0.005397168,0.04048289],"category_scores_gemma":[0.02721634,0.005337133,0.0007677989,0.009110645,0.007458334,0.03794231,0.1939136,0.01275683,0.0472195],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230521,"about_ca_system_score_gemma":0.01111702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03090159,"about_ca_topic_score_gemma":0.03626991,"domain_scores_codex":[0.9402758,0.005091226,0.01008688,0.01500716,0.01996698,0.009571943],"domain_scores_gemma":[0.8605757,0.00419778,0.007831354,0.116939,0.007464277,0.002991879],"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":[0.002520635,0.002907098,0.00008711578,0.0103709,0.003330807,0.0003668041,0.0002819599,0.0000418989,0.0007798314,0.00003701005,0.9750179,0.004258059],"study_design_scores_gemma":[0.005756499,0.001614086,0.0002139714,0.007236124,0.001934327,0.0004355426,0.000944764,0.009875949,0.0003239211,0.0002194683,0.9665703,0.004875015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001616152,0.002573236,0.001164448,0.002038406,0.00209329,0.01184648,0.9781407,0.0008091984,0.001172686],"genre_scores_gemma":[0.0001583988,0.01003917,0.01370097,0.0002645225,0.004330718,0.000708313,0.9624544,0.00133696,0.007006549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1019318,"threshold_uncertainty_score":0.9982556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2615321368675522,"score_gpt":0.4260776370953733,"score_spread":0.1645455002278211,"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."}}