{"id":"W4295279694","doi":"10.1158/1078-0432.ccr-22-2365","title":"Multi-omics Uncovering Different Faces of Clear Cell Ovarian Cancer","year":2022,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Ovarian cancer; Histopathology; Transcriptome; Omics; Cancer; Bioinformatics; Medicine; Computational biology; Biology; Oncology; Pathology; Internal medicine; Gene; Genetics; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.004548192,0.0006678919,0.001392027,0.000896662,0.002188721,0.002603195,0.001218101,0.01937363,0.00376526],"category_scores_gemma":[0.0186469,0.0006391518,0.001134847,0.0005977642,0.002003355,0.002917039,0.001236075,0.02349452,0.005503626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003680135,"about_ca_system_score_gemma":0.002639602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369839,"about_ca_topic_score_gemma":0.006969146,"domain_scores_codex":[0.9967752,0.001232965,0.0003860766,0.0003188719,0.001011233,0.000275682],"domain_scores_gemma":[0.9890254,0.006610079,0.0003542575,0.0004275734,0.002509652,0.001072974],"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":[0.0001163064,0.00003425812,0.001155843,0.00008212462,0.00002493313,0.003121264,0.00007973702,0.0000979894,0.0006634769,0.002055788,0.9567514,0.0358169],"study_design_scores_gemma":[0.0002839897,0.000209648,0.003342572,0.0005476341,0.00008754579,0.01411388,0.0005758464,0.001743271,0.001231796,0.03109896,0.9466663,0.0000986421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0006977791,0.003870688,0.0004009447,0.9732261,0.0191715,0.00001989511,0.00009836983,0.00005758731,0.002457291],"genre_scores_gemma":[0.00977892,0.006868987,0.0009288967,0.9000718,0.07591299,0.00005966838,0.0001322135,0.0000535745,0.00619289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01937363,"threshold_uncertainty_score":0.02670139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2913758298852968,"score_gpt":0.5071514451621641,"score_spread":0.2157756152768674,"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."}}