{"id":"W3081111599","doi":"10.1101/2020.08.21.20178830","title":"Prognostic and theragnostic biomarkers in ovarian clear cell carcinoma","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"BC Cancer Foundation; Michael Smith Health Research BC","keywords":"Medicine; Oncology; Stage (stratigraphy); Clear cell carcinoma; Clear cell; Immunohistochemistry; Internal medicine; Overall survival; Biomarker; Ovarian cancer; Cancer research; Cancer; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006886874,0.0002968076,0.0002791803,0.0009918843,0.0001700105,0.0004315332,0.0002267956,0.0002830337,0.000609664],"category_scores_gemma":[0.001487946,0.0000959495,0.0001657149,0.000551897,0.0002161822,0.0002674224,0.0002822571,0.0002318219,0.0001484881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334042,"about_ca_system_score_gemma":0.0004569851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399824,"about_ca_topic_score_gemma":0.002503539,"domain_scores_codex":[0.999763,0.00007973282,0.00002189445,0.00002637793,0.00007311923,0.00003587224],"domain_scores_gemma":[0.999297,0.0001805008,0.0002687936,0.0000305021,0.0001468066,0.00007644022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003804192,0.0000298613,0.9746705,0.00004867543,0.00002982268,0.000222674,0.0000319946,0.0003452502,0.007100169,0.00007089031,0.0001178292,0.01695195],"study_design_scores_gemma":[0.00003725908,0.0006151823,0.9817353,0.00002730895,0.0001148745,0.002125083,0.0001277232,0.002662816,0.009501358,0.0004324272,0.002609221,0.00001148259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940433,0.003970808,0.000786024,0.0001856115,0.0000137559,0.00002058956,0.0001697194,0.00002081197,0.000789495],"genre_scores_gemma":[0.9984605,0.0003272714,0.0007921362,0.00003399728,0.00001331205,0.000009652113,0.0002158738,0.000001739699,0.0001454778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001399824,"threshold_uncertainty_score":0.003642142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644656492015493,"score_gpt":0.26104349112362,"score_spread":0.2345969262034651,"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."}}