{"id":"W2122172262","doi":"10.1111/j.1754-9485.2010.02217.x","title":"Clinician's guide to prostate IMRT plan assessment and optimisation","year":2010,"lang":"en","type":"review","venue":"Journal of Medical Imaging and Radiation Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Medical physics; Plan (archaeology); Radiation therapy; Radiation treatment planning; Prostate; Nuclear medicine; Radiology; Cancer","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":[0.001479822,0.000184686,0.0009346394,0.0002209015,0.00007017144,0.0000440807,0.0001624451,0.0001927259,0.00009301522],"category_scores_gemma":[0.00007708629,0.000133767,0.0001158218,0.00007787724,0.00009544948,0.0001174328,0.00004317658,0.001041158,6.498425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334623,"about_ca_system_score_gemma":0.0009191248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001125406,"about_ca_topic_score_gemma":7.859238e-7,"domain_scores_codex":[0.9982489,0.0002032504,0.0008932573,0.0001773178,0.000314933,0.000162335],"domain_scores_gemma":[0.99808,0.0004270878,0.0009999025,0.00009650414,0.00008750547,0.0003090721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004318908,0.0000439239,0.0003919598,0.0001233733,0.00006193762,0.00001530015,0.00008451374,0.000001428587,0.000001415281,0.0002790109,0.004852298,0.9941405],"study_design_scores_gemma":[0.000482647,0.0001527146,0.00004861537,0.001004352,0.0001474842,0.0001961595,0.00004477886,0.0003157102,5.794605e-7,0.0001841117,0.9972946,0.0001282654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003296818,0.8758011,0.1182764,0.004078324,0.0008569745,0.0003785451,0.0000147099,0.0000169824,0.000543966],"genre_scores_gemma":[0.00001641279,0.9545258,0.04329653,0.0003835662,0.001652046,0.00001910425,0.00001885015,0.00002358538,0.000064125],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9940122,"threshold_uncertainty_score":0.545486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131364249359078,"score_gpt":0.4644177275779949,"score_spread":0.4431040850844041,"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."}}