{"id":"W1980885373","doi":"10.1118/1.4828841","title":"Predicting objective function weights from patient anatomy in prostate IMRT treatment planning","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prostate; Radiation treatment planning; Medical physics; Medicine; Medical imaging; Image-guided radiation therapy; Prostate gland; Function (biology); Prostate cancer; Radiology; Nuclear medicine; Radiation therapy; Biology; Internal medicine; Cancer","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":[0.001575142,0.0008825942,0.0004617342,0.0006576467,0.0001810353,0.0003942051,0.0004507017,0.0004235673,0.0004422191],"category_scores_gemma":[0.005755491,0.0004537079,0.0006410216,0.0004178821,0.0003588173,0.0004836577,0.0004775119,0.0006415561,0.0001975955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009329373,"about_ca_system_score_gemma":0.0008598652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004929953,"about_ca_topic_score_gemma":0.004513337,"domain_scores_codex":[0.9994791,0.0001943371,0.00001797821,0.00007960216,0.0001960346,0.00003304196],"domain_scores_gemma":[0.9985121,0.001005052,0.0002048596,0.00008522865,0.0001617795,0.00003100969],"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":[0.00004624558,0.00003703434,0.00640103,0.00002248994,0.00003322866,0.00001827358,0.00001992088,0.9617731,0.002994083,0.0002678525,0.0001428077,0.02824385],"study_design_scores_gemma":[0.000004866804,0.00003968113,0.002326526,0.000002964298,0.000006805488,0.00001906343,0.000003131425,0.9949851,0.002115868,0.0003723903,0.0001159759,0.000007581117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2788442,0.0001794863,0.7194577,0.0000977275,0.00001179352,0.000063556,0.0001058286,0.0005857499,0.0006540613],"genre_scores_gemma":[0.914571,0.00007788845,0.08434431,0.00003983183,0.000009437224,0.0000966287,0.0002436245,0.0001245112,0.0004926724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004929953,"threshold_uncertainty_score":0.00980252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147824127026065,"score_gpt":0.2565507784347939,"score_spread":0.2504029543077678,"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."}}