{"id":"W2526305696","doi":"10.4143/crt.2016.282","title":"Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer","year":2016,"lang":"en","type":"article","venue":"Cancer Research and Treatment","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Research Foundation of Korea; Korea Health Industry Development Institute; National Research Foundation","keywords":"Medicine; Nomogram; Epithelial ovarian cancer; Ovarian cancer; Oncology; Internal medicine; Progression-free survival; Carboplatin; Cancer; Overall survival; Chemotherapy; Cisplatin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004689888,0.0002234603,0.0003257502,0.0001381467,0.0001847561,0.00004949641,0.00005452105,0.00009111674,0.0001378103],"category_scores_gemma":[0.00005029568,0.0001430981,0.00004646862,0.0001391842,0.0002753455,0.00007860241,0.0001569147,0.0001151417,0.000004401651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00064097,"about_ca_system_score_gemma":0.0003747532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161154,"about_ca_topic_score_gemma":0.0008945371,"domain_scores_codex":[0.9979895,0.00021197,0.0002133557,0.000480528,0.0005565063,0.0005480875],"domain_scores_gemma":[0.9989167,0.0002694871,0.00006256979,0.0003056251,0.000136632,0.0003089492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001082062,0.0006107274,0.9508747,0.0001553319,0.0003830885,0.0006004653,0.0001901865,0.000001015456,0.01274975,0.00005139532,0.00007771274,0.03322353],"study_design_scores_gemma":[0.05532446,0.003563084,0.8873025,0.005258555,0.0008540342,0.0001062906,0.0003524338,0.001889437,0.04032657,0.0006804736,0.003440215,0.0009019251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938043,0.002647347,0.000007873015,0.0005828346,0.000170656,0.001163376,0.0005733259,0.00003486069,0.00101537],"genre_scores_gemma":[0.9963442,0.002314735,0.0003945216,0.00001083231,0.000235686,0.0003428079,0.00001610188,0.00003407901,0.0003070552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06357221,"threshold_uncertainty_score":0.5835372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08729032001113747,"score_gpt":0.3720340331634368,"score_spread":0.2847437131522993,"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."}}