{"id":"W4416598104","doi":"10.5256/f1000research.6529.d48913","title":"Supplementary Datasets 1-11","year":2015,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01262917,0.0007832507,0.001231917,0.001907845,0.0003200892,0.0001959234,0.005271336,0.0006801201,0.0390421],"category_scores_gemma":[0.00201689,0.0007260019,0.000252801,0.00167193,0.001457513,0.0003226357,0.00408462,0.002760829,0.04320246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229306,"about_ca_system_score_gemma":0.00246135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07496571,"about_ca_topic_score_gemma":0.0269256,"domain_scores_codex":[0.9833672,0.002048528,0.001138456,0.001467957,0.009722664,0.002255196],"domain_scores_gemma":[0.9907882,0.0005249898,0.0004515488,0.004275102,0.002835964,0.001124183],"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":[0.000267769,0.0006530814,0.00006203283,0.000652373,0.0002659571,0.0003101132,0.00004166378,0.000002714244,0.0001976929,0.000006416267,0.9974226,0.0001176317],"study_design_scores_gemma":[0.00150993,0.0004116056,0.00005406567,0.0003368651,0.0001003366,0.00002709953,0.000264152,0.000003107433,0.0007447049,0.00008315199,0.9958216,0.0006433586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001008719,0.0002124801,1.867468e-7,0.001218422,0.0001908063,0.001366384,0.9966239,0.00005117462,0.0002357463],"genre_scores_gemma":[0.000008153796,0.0001490876,0.0002573904,0.00005015189,0.0005007876,0.0001588072,0.9963094,0.0001716101,0.002394624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04804011,"threshold_uncertainty_score":0.9995399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162802310389781,"score_gpt":0.4424416608309653,"score_spread":0.3261614297919871,"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."}}