{"id":"W2060343400","doi":"10.1016/j.ijrobp.2014.06.005","title":"Comparison and Consensus Guidelines for Delineation of Clinical Target Volume for CT- and MR-Based Brachytherapy in Locally Advanced Cervical Cancer","year":2014,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Medicine; Brachytherapy; Cervical cancer; Stage (stratigraphy); Nuclear medicine; Magnetic resonance imaging; Ovoid; Radiation therapy; Radiology; Radiation treatment planning; Cancer","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":[0.0009215125,0.0001361684,0.0007652889,0.0001246141,0.0000288423,0.000007710785,0.00009617154,0.0001252476,0.00001613169],"category_scores_gemma":[0.001859204,0.0001101306,0.0001638917,0.00009555806,0.0001504307,0.00006200555,0.00001489887,0.0001757353,4.026722e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574362,"about_ca_system_score_gemma":0.0003759351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003903788,"about_ca_topic_score_gemma":0.00003347672,"domain_scores_codex":[0.9980249,0.0001427197,0.001337513,0.0002019271,0.0001548053,0.0001381267],"domain_scores_gemma":[0.9956055,0.001544375,0.001038499,0.00006777979,0.001636676,0.0001072259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004084526,0.0003447505,0.6129875,0.00002893064,0.0002000597,0.000001605256,0.00002579026,0.002313862,0.0005013149,0.0007442873,0.0003416855,0.3784257],"study_design_scores_gemma":[0.102261,0.01224156,0.256556,0.0003057334,0.0004085054,0.00005695709,0.00009163496,0.5028009,0.00446509,0.01290042,0.1075763,0.0003358703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479099,0.001675203,0.1370937,0.01144908,0.001177099,0.0005373786,0.0001279658,0.000009986827,0.00001974355],"genre_scores_gemma":[0.9543333,0.000554767,0.04119984,0.002240707,0.001496673,0.00004293176,0.00009799666,0.00001622254,0.00001753022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.500487,"threshold_uncertainty_score":0.4490997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08939937044553167,"score_gpt":0.4707920027327945,"score_spread":0.3813926322872628,"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."}}