{"id":"W1972182149","doi":"10.1038/modpathol.2010.215","title":"Calculator for ovarian carcinoma subtype prediction","year":2010,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Calgary; Centre for Health Evaluation and Outcome Sciences; Vancouver General Hospital; Calgary Laboratory Services; BC Cancer Agency","funders":"BC Cancer Agency; Eli Lilly Canada; Michael Smith Health Research BC; National Cancer Institute; Sanofi","keywords":"Ovarian carcinoma; Serous carcinoma; Ovarian cancer; Oncology; Serous fluid; Medicine; Tissue microarray; Logistic regression; Internal medicine; Cohort; Anatomical pathology; Pathology; Immunohistochemistry; Cancer","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001091689,0.0001115558,0.0002130749,0.00005835112,0.0000662733,0.000007597168,0.00004105618,0.0001772785,0.0001215098],"category_scores_gemma":[0.00004309176,0.00009414035,0.00009219749,0.00004325855,0.00004818357,0.0000290614,0.00001642252,0.0001432177,0.00002893633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004327326,"about_ca_system_score_gemma":0.000093963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003701436,"about_ca_topic_score_gemma":0.00006945736,"domain_scores_codex":[0.9992166,0.00001399155,0.0001525152,0.0003172531,0.00007787359,0.0002218238],"domain_scores_gemma":[0.999395,0.00003317898,0.00004256848,0.0003442038,0.00007627562,0.0001087391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005192977,0.0007675646,0.8658693,0.00009156713,0.0001348704,0.0004453885,0.0007228734,0.00001227832,0.07529135,0.009191412,0.003649651,0.04330439],"study_design_scores_gemma":[0.004659175,0.0008687882,0.9625039,0.00001076477,0.0002795036,0.0005944354,0.00001082765,0.005318904,0.007084271,0.002714942,0.01582199,0.0001325168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874408,0.0001331451,0.007111323,0.002307556,0.001013096,0.0005833863,0.00009632629,0.00007316569,0.001241262],"genre_scores_gemma":[0.9941984,0.000006719196,0.003983226,0.0005238717,0.0004666141,0.0002531449,0.00009530679,0.00002636244,0.0004463978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09663452,"threshold_uncertainty_score":0.3838932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803982317258267,"score_gpt":0.2712445993056805,"score_spread":0.2532047761330978,"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."}}