{"id":"W4401584469","doi":"10.3390/cancers16162840","title":"Ascites and Serum Interleukin-10 Levels as a Prognostic Tool for Ovarian Cancer Outcomes","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Jewish General Hospital","keywords":"Ascites; Medicine; Ovarian cancer; Gastroenterology; Internal medicine; Hazard ratio; Serous fluid; Cancer antigen; Histology; Cancer; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024046,0.0002418281,0.0002936964,0.0008526297,0.0001504952,0.0004407661,0.0001337126,0.0002626797,0.0007841557],"category_scores_gemma":[0.003389242,0.0001116863,0.0002065631,0.0006039229,0.0002777276,0.0003413455,0.0004630938,0.0003596631,0.0001633182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865048,"about_ca_system_score_gemma":0.0002024809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003449824,"about_ca_topic_score_gemma":0.0004641942,"domain_scores_codex":[0.9996191,0.0001645064,0.00004278721,0.00004922556,0.00007341809,0.00005093541],"domain_scores_gemma":[0.9973513,0.001021222,0.0009952009,0.00011274,0.0002102663,0.0003091293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000502101,0.00002168896,0.9948441,0.00001245463,0.00003047951,0.00004141838,0.0000203199,0.0001208516,0.0008526263,0.000009666669,0.00004174832,0.00350257],"study_design_scores_gemma":[0.00002424013,0.0004160306,0.9957184,0.00001626366,0.00007738962,0.0004777647,0.00008646199,0.001923056,0.0007622291,0.00009551249,0.0003959434,0.000006736104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980191,0.001063243,0.0003613465,0.00004418641,0.00001018961,0.000007101261,0.000125619,0.000009021263,0.0003601109],"genre_scores_gemma":[0.9994209,0.000131818,0.0002099465,0.00001021737,0.0000156353,0.000006308075,0.0001242137,0.000001319536,0.00007966458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001024046,"threshold_uncertainty_score":0.005415797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205130045904723,"score_gpt":0.3384198582211433,"score_spread":0.306368557762096,"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."}}