{"id":"W6921027770","doi":"10.6084/m9.figshare.20088023","title":"Additional file 5 of KAZN as a diagnostic marker in ovarian cancer: a comprehensive analysis based on microarray, mRNA-sequencing, and methylation data","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Receiver operating characteristic; Methylation; Area under curve; DNA methylation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002224325,0.001438806,0.001625622,0.002527594,0.0008250295,0.002301872,0.002156693,0.001596342,0.856819],"category_scores_gemma":[0.03001286,0.0007662087,0.001400654,0.003301994,0.0003371665,0.001857536,0.001266505,0.0009780029,0.1789951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009933874,"about_ca_system_score_gemma":0.001805911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006134361,"about_ca_topic_score_gemma":0.009027635,"domain_scores_codex":[0.9990278,0.0001785354,0.0001663932,0.0002761784,0.0002138556,0.0001371219],"domain_scores_gemma":[0.9785766,0.01762881,0.0008744281,0.0010491,0.001391563,0.0004795281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00054964,0.00009769184,0.004208511,0.004093087,0.0001217619,0.0001997272,0.00007366169,0.000562359,0.0002337909,0.0007333537,0.9778302,0.01129623],"study_design_scores_gemma":[0.012009,0.0004738033,0.05774232,0.005360482,0.0007091237,0.001667537,0.0004741814,0.003846597,0.002120794,0.01781913,0.8974375,0.0003395081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001811242,0.00003142203,0.0002856688,0.0001207438,0.00002568997,0.00004802651,0.998456,0.0003662957,0.0004850707],"genre_scores_gemma":[0.008621641,0.0002263563,0.003535649,0.0007764947,0.0001505859,0.001492096,0.9758919,0.001473873,0.00783138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.856819,"threshold_uncertainty_score":0.2042302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05777953342730219,"score_gpt":0.2980659413610486,"score_spread":0.2402864079337464,"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."}}