{"id":"W2061434953","doi":"10.1016/j.radonc.2009.03.023","title":"A cost-outcome analysis of Image-Guided Patient Repositioning in the radiation treatment of cancer of the prostate","year":2009,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Image-guided radiation therapy; Medicine; Prostate cancer; Radiation therapy; Medical physics; Margin (machine learning); Metric (unit); Reduction (mathematics); Outcome (game theory); Prostate; Radiology; Cancer; Computer science; Operations management; Internal medicine; Machine learning","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":[0.00209771,0.0007344721,0.00103355,0.001468936,0.0002256834,0.0009887522,0.0007699835,0.0007691695,0.002650254],"category_scores_gemma":[0.009415186,0.0002679928,0.002456171,0.001508254,0.000467968,0.0005668997,0.0004924538,0.0005698614,0.0002143193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00282232,"about_ca_system_score_gemma":0.0007025757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007831942,"about_ca_topic_score_gemma":0.005800615,"domain_scores_codex":[0.9980924,0.001104351,0.0001308512,0.0001362477,0.0003494525,0.0001866918],"domain_scores_gemma":[0.99435,0.003680425,0.001104582,0.0002418662,0.0003226032,0.0003003859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.09821009,0.002893699,0.4953267,0.0007720121,0.007264358,0.001013588,0.0001919654,0.2161248,0.004164177,0.00201154,0.001928571,0.1700984],"study_design_scores_gemma":[0.002224712,0.03417918,0.7912155,0.00009494022,0.006248955,0.002632467,0.0004204921,0.1583995,0.002004749,0.001176021,0.001206796,0.0001966693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957148,0.001658517,0.0009846075,0.0001861242,0.00002242037,0.00005414975,0.0004318737,0.00001323131,0.0009342507],"genre_scores_gemma":[0.9991813,0.0001755046,0.0002348892,0.00002502342,0.00001164299,0.00001010007,0.0002327379,0.000004708169,0.0001239485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007831942,"threshold_uncertainty_score":0.02047747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849755052969212,"score_gpt":0.3674065047303461,"score_spread":0.348908954200654,"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."}}