{"id":"W4236483910","doi":"10.1002/0471463736.tnmp32","title":"Uterine Cervix Cancer","year":2003,"lang":"en","type":"other","venue":"TNM Online","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Multivariate analysis; Multivariate statistics; Medicine; Cervix; Proportional hazards model; Univariate; Oncology; Cancer; 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":[0.00002366679,0.0002995065,0.0006217787,0.0002114143,0.00001514036,0.000006274725,0.00008741489,0.0002469451,0.2869753],"category_scores_gemma":[0.000033322,0.0002202619,0.0001515493,0.0003231846,0.00003715818,0.000009420977,0.00003428074,0.0002172076,0.0005387078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252935,"about_ca_system_score_gemma":0.0001284764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077575,"about_ca_topic_score_gemma":0.0006764125,"domain_scores_codex":[0.9989008,0.00001931943,0.0002037331,0.000338119,0.0002689247,0.0002691092],"domain_scores_gemma":[0.9992524,0.00001880758,0.0001155046,0.0003775034,0.00003382214,0.0002019074],"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":[0.0001068262,0.0004645122,0.0004254646,0.0003360723,0.0003916014,0.0001222524,0.000005653871,9.103929e-8,0.00002345493,0.00002220241,0.9600945,0.03800736],"study_design_scores_gemma":[0.002923232,0.000204771,0.0006456717,0.000438343,0.0002585392,0.00001876815,0.00000337325,0.000001609815,0.00005041,0.00002043575,0.9952373,0.0001975328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001578396,0.01233129,0.00001205336,0.001398494,0.001152917,0.0005820499,0.008309308,0.0003157745,0.9757403],"genre_scores_gemma":[0.00006626236,0.004633792,0.001482681,0.002334381,0.002259514,0.00007234306,0.002042841,0.0004324305,0.9866757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2864366,"threshold_uncertainty_score":0.898202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668198860755976,"score_gpt":0.3682768062501248,"score_spread":0.331594817642565,"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."}}