{"id":"W2043753400","doi":"10.1016/j.cmpb.2008.06.011","title":"Estimating the lifetime utilization rate of radiotherapy in cancer patients: The Multicohort Current Utilization Table (MCUT) method","year":2008,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Cancer Care Ontario","keywords":"Medicine; Radiation therapy; Table (database); Prostate cancer; Breast cancer; Medical physics; Cancer; Computer science; Surgery; Data mining; Internal medicine","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":[0.00502231,0.0003709511,0.0009944992,0.002979015,0.0003271224,0.0009371632,0.0009344193,0.0007303801,0.001715222],"category_scores_gemma":[0.02087419,0.0004125263,0.001230516,0.002034419,0.0002094768,0.001261578,0.0005183193,0.0004911513,0.0001828257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118677,"about_ca_system_score_gemma":0.0009475351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458165,"about_ca_topic_score_gemma":0.00708098,"domain_scores_codex":[0.9984811,0.0008090747,0.0001462046,0.0002678459,0.0002144311,0.00008132074],"domain_scores_gemma":[0.9850338,0.01154711,0.001471088,0.001035282,0.0007133543,0.0001993794],"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":[0.0008676956,0.0001769285,0.6775073,0.0001911339,0.001624192,0.0001689882,0.00024009,0.1418772,0.0005451082,0.006213134,0.003776456,0.1668117],"study_design_scores_gemma":[0.00005070085,0.0001924753,0.07260337,0.00008924885,0.0004160779,0.0009023346,0.0002343608,0.9149772,0.0009131129,0.007343911,0.002215427,0.00006179035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6132091,0.003055015,0.3742175,0.0005477171,0.0001057636,0.0002366381,0.006515356,0.0004840247,0.001628873],"genre_scores_gemma":[0.9129476,0.0009868068,0.08240855,0.000120586,0.00007121347,0.0001821308,0.00264141,0.00005306073,0.0005887535],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01458165,"threshold_uncertainty_score":0.02899355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07520504267684029,"score_gpt":0.4288581468310411,"score_spread":0.3536531041542008,"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."}}