{"id":"W2226333405","doi":"10.6000/1929-2279.2015.04.04.8","title":"Molecular Technologies in Gynecologic Oncology","year":2015,"lang":"en","type":"article","venue":"Journal of cancer research updates","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Ovarian cancer; Medicine; Molecular pathology; Molecular diagnostics; Oncology; Internal medicine; Gene; Biology; Pathology; Bioinformatics; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001474157,0.0005218961,0.0005276044,0.00207105,0.0006659933,0.00198247,0.00088673,0.002262645,0.009792168],"category_scores_gemma":[0.00192471,0.0002510877,0.0005951287,0.001768814,0.002031653,0.00164739,0.001423751,0.003589841,0.005833282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956973,"about_ca_system_score_gemma":0.00175184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357582,"about_ca_topic_score_gemma":0.001333428,"domain_scores_codex":[0.9991683,0.0002729841,0.00005182746,0.0001047333,0.0002982894,0.0001039761],"domain_scores_gemma":[0.9989986,0.0003884124,0.0001034426,0.0001060584,0.0002814792,0.0001219552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001306225,0.0001189089,0.002536774,0.002463376,0.00005115547,0.002333274,0.0007143605,0.0008074026,0.01091404,0.1257223,0.1013454,0.7528624],"study_design_scores_gemma":[0.00001231941,0.0000889084,0.001353807,0.0008463598,0.00001930148,0.004595858,0.0002645687,0.0001941147,0.001491854,0.0229713,0.9681367,0.00002509937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003179545,0.8793175,0.01168448,0.0270569,0.006570234,0.0000881851,0.0001653721,0.0002839996,0.07165383],"genre_scores_gemma":[0.05889459,0.8252967,0.02572848,0.01952163,0.01027801,0.0002063864,0.0004287208,0.0001615248,0.05948392],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009792168,"threshold_uncertainty_score":0.03275812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281492591538483,"score_gpt":0.4837661160146403,"score_spread":0.3556168568607919,"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."}}