{"id":"W1569595215","doi":"","title":"3T MR-based treatment planning for radiotherapy of brain lesions","year":2006,"lang":"en","type":"article","venue":"Radiology and Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Radiation treatment planning; Pinnacle; Nuclear medicine; Radiation therapy; Magnetic resonance imaging; Dose-volume histogram; Histogram; Radiology; Computer science; Artificial intelligence; 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":[0.0001055925,0.0001384771,0.0003915762,0.00007701865,0.00009815395,0.000002410068,0.00006773555,0.0001221478,0.00007216517],"category_scores_gemma":[0.000003594675,0.0001157564,0.00008756002,0.00004607216,0.0002082414,0.00002710145,0.000004665185,0.00006341792,1.695455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008333217,"about_ca_system_score_gemma":0.00008945559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000860781,"about_ca_topic_score_gemma":0.000005591397,"domain_scores_codex":[0.9992503,0.00008870294,0.000214132,0.00020738,0.00002136631,0.0002181012],"domain_scores_gemma":[0.9990038,0.0006810445,0.0001322927,0.0001287887,0.00002163496,0.00003242107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001237787,0.001259491,0.2696727,0.00003698053,0.0005289167,0.00001642681,0.0007103871,0.005585485,0.18575,0.3025742,0.01677147,0.2158562],"study_design_scores_gemma":[0.01126635,0.009439191,0.01361262,0.00003279926,0.0001054775,0.00003679742,0.0001398509,0.006735266,0.05574741,0.05204922,0.8502449,0.0005900919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2328771,0.001646759,0.7625872,0.00109834,0.00009674403,0.0004499581,0.0000545865,0.0000530888,0.001136181],"genre_scores_gemma":[0.873384,0.00004003726,0.1249147,0.0003726015,0.0004856183,0.0002506289,0.0000941171,0.00002758926,0.0004307089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8334734,"threshold_uncertainty_score":0.4720409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771279466639883,"score_gpt":0.3432578467510593,"score_spread":0.3255450520846604,"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."}}