{"id":"W2058922242","doi":"10.1118/1.2244693","title":"Sci‐Sat AM (1) General‐06: Theoretical estimation of dose volume constraints and their impact on DVH selection","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dosimetry; Volume (thermodynamics); Mathematical optimization; Constraint (computer-aided design); Radiation treatment planning; Population; Mathematics; Dose-volume histogram; Selection (genetic algorithm); Nuclear medicine; Range (aeronautics); Computer science; Radiation therapy; Medicine; Physics; Radiology; Artificial intelligence","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":[0.001460962,0.0008463072,0.0007902989,0.001669942,0.0007047578,0.001797599,0.001560756,0.001398724,0.1419311],"category_scores_gemma":[0.006780619,0.0006660139,0.00105051,0.003153567,0.0009541056,0.001462502,0.001856298,0.001130202,0.0328914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585902,"about_ca_system_score_gemma":0.001432125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003077321,"about_ca_topic_score_gemma":0.004806969,"domain_scores_codex":[0.9989935,0.000367707,0.00003525951,0.0001473625,0.0004038829,0.00005234991],"domain_scores_gemma":[0.9979498,0.001012591,0.0001599007,0.000423621,0.0003990569,0.00005513798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002621648,0.00008397409,0.002897178,0.001367206,0.00008639548,0.0002766549,0.0001137555,0.2683493,0.004156951,0.234152,0.1393598,0.3488947],"study_design_scores_gemma":[0.00007042941,0.000105498,0.002537068,0.0001741201,0.00003142111,0.0007153255,0.00005305558,0.722629,0.006140948,0.1234981,0.1439912,0.00005386396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01493439,0.001855618,0.7876976,0.002416889,0.0005243567,0.0003597992,0.007205809,0.005735449,0.1792701],"genre_scores_gemma":[0.3746411,0.004475689,0.4735474,0.001765808,0.001402247,0.001124471,0.01449203,0.005743069,0.1228083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1419311,"threshold_uncertainty_score":0.4748069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004490966438596596,"score_gpt":0.2738876084188476,"score_spread":0.269396641980251,"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."}}