{"id":"W2080093778","doi":"10.1016/j.ijrobp.2014.05.2485","title":"Commissioning of a Prostate Model Created Using Knowledge-Based Planning as a Tool to Guide the Planning Process","year":2014,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"CancerCare Manitoba","funders":"","keywords":"Medicine; Rectum; Prostate; Radiation treatment planning; Nuclear medicine; Prostate cancer; Medical physics; Radiology; Radiation therapy; Surgery; Cancer; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078994,0.0006991176,0.000987481,0.0007062585,0.0005988962,0.001729773,0.0008785466,0.001339028,0.005284822],"category_scores_gemma":[0.005215171,0.0008880745,0.001208237,0.0008656724,0.0005861578,0.0005615191,0.000926294,0.001348605,0.0006349349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147624,"about_ca_system_score_gemma":0.003718339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01598513,"about_ca_topic_score_gemma":0.01824693,"domain_scores_codex":[0.9994634,0.0001064619,0.00003037691,0.00006279907,0.000287694,0.00004929841],"domain_scores_gemma":[0.9974523,0.001755025,0.0001568698,0.0002824095,0.000257552,0.0000958506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861368,0.00003323275,0.0008029034,0.0001171032,0.00003469115,0.0002378042,0.0001373817,0.9655033,0.003644518,0.002907849,0.001425868,0.02496933],"study_design_scores_gemma":[0.00003102081,0.00005053311,0.0003124085,0.00001716693,0.00002359939,0.0001034783,0.00002318411,0.9911234,0.004543104,0.001895913,0.001848422,0.00002771329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05741268,0.0002804012,0.9277887,0.000446854,0.0001725256,0.00030634,0.0009941399,0.005200892,0.007397465],"genre_scores_gemma":[0.6280152,0.0001903337,0.366332,0.0001835024,0.00002775567,0.0002298777,0.001093187,0.0009790185,0.00294909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01598513,"threshold_uncertainty_score":0.03178418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2814612843285256,"score_gpt":0.5588886812334513,"score_spread":0.2774273969049256,"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."}}