{"id":"W1971497750","doi":"10.1016/j.rpor.2013.12.001","title":"Comparative analysis of image guidance in two institutions for prostate cancer patients","year":2014,"lang":"en","type":"article","venue":"Reports of Practical Oncology & Radiotherapy","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Centrum fÖr Personcentrerad Vård","keywords":"Supine position; Tomotherapy; Prostate cancer; Prostate; Medicine; Nuclear medicine; Position (finance); Image registration; Prone position; Radiation therapy; Radiology; Cancer; Computer science; Surgery; Artificial intelligence; Internal medicine; Image (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":[],"consensus_categories":[],"category_scores_codex":[0.0004878325,0.0001587987,0.0009046637,0.0002347087,0.00004455231,0.000006474153,0.00008717869,0.00005261831,0.0001540338],"category_scores_gemma":[0.00006776795,0.0001434678,0.0002029956,0.0004401439,0.0003186662,0.0002670037,0.00001282001,0.0001560505,6.980607e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864201,"about_ca_system_score_gemma":0.0003140038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004780496,"about_ca_topic_score_gemma":0.00009696005,"domain_scores_codex":[0.9983485,0.0001495014,0.0008180449,0.0003155798,0.0001464143,0.0002219538],"domain_scores_gemma":[0.9976979,0.0005417278,0.001089434,0.0003017639,0.000311534,0.0000576209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000595584,0.003104818,0.8867966,0.00003148217,0.002728255,0.000007877144,0.001415042,0.006017076,0.04220128,0.03337114,0.0006286603,0.02310219],"study_design_scores_gemma":[0.01384078,0.005479247,0.2921053,0.0002496764,0.002674742,0.00001509634,0.0002887041,0.0572658,0.1365654,0.01486062,0.4749604,0.001694256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4076109,0.0002225967,0.5872957,0.0004852765,0.0001362093,0.001019071,0.00008084556,0.00002738698,0.003122031],"genre_scores_gemma":[0.822429,0.00004871836,0.1770404,0.00008076915,0.00005834807,0.000261675,0.00003277986,0.00001217762,0.00003614419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5946913,"threshold_uncertainty_score":0.5850447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681191358882935,"score_gpt":0.4498831705078208,"score_spread":0.4230712569189914,"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."}}