{"id":"W1835902352","doi":"10.1002/0471463736.tnmp32.pub2","title":"Uterine Cervix Cancer","year":2006,"lang":"en","type":"other","venue":"TNM Online","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Multivariate analysis; Multivariate statistics; Medicine; Cervix; Proportional hazards model; Oncology; Cancer; Univariate; Internal medicine; Uterine cervix; Univariate analysis; Carcinoma; Gynecology; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001826973,0.0002962256,0.0006075986,0.0002285922,0.00001479679,0.00000686158,0.00009499166,0.0002437824,0.0866856],"category_scores_gemma":[0.00001604953,0.0002180018,0.0001565186,0.0002987209,0.00003869937,0.00000946478,0.0000484641,0.0002013501,0.0002952387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279185,"about_ca_system_score_gemma":0.0001017096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00599477,"about_ca_topic_score_gemma":0.003754467,"domain_scores_codex":[0.9988956,0.00001261976,0.0002161358,0.0003306578,0.0002820455,0.000262937],"domain_scores_gemma":[0.9993284,0.00001929474,0.0001229128,0.0003504133,0.00003255099,0.0001464537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001011109,0.0004507364,0.0006210065,0.0003004667,0.0002399806,0.000124899,0.00000267192,2.196155e-7,0.0000225363,0.00001029533,0.9573995,0.04072653],"study_design_scores_gemma":[0.002842559,0.0001786626,0.002900602,0.0004711249,0.0002563146,0.00001172447,0.000001583128,0.00000398025,0.00003808066,0.0000204076,0.9930802,0.0001947728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002544022,0.009909918,0.00001343884,0.001530196,0.0008499559,0.0005540798,0.01369389,0.0004465203,0.9727476],"genre_scores_gemma":[0.0001737486,0.001661192,0.001165434,0.001116275,0.004912242,0.00006924282,0.005554432,0.0004300518,0.9849174],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08639036,"threshold_uncertainty_score":0.9141493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02954092144059136,"score_gpt":0.359155362139347,"score_spread":0.3296144406987557,"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."}}