{"id":"W2922380497","doi":"10.1002/acm2.12561","title":"Evaluation of mixed energy partial arcs for volumetric modulated arc therapy for prostate cancer","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nuclear medicine; Prostate cancer; Medicine; Prostate; Mathematics; 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":[0.002804404,0.0001758216,0.0007145687,0.0000588755,0.00003928216,0.00001043686,0.0002934545,0.0001360217,0.0001809053],"category_scores_gemma":[0.0001163589,0.0001352873,0.0004521967,0.0002351106,0.000122482,0.0000905379,0.00001682654,0.0003054402,4.77778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005645076,"about_ca_system_score_gemma":0.0007398354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001350353,"about_ca_topic_score_gemma":7.190676e-7,"domain_scores_codex":[0.9970683,0.0001004998,0.001224579,0.0002325229,0.001119144,0.0002549206],"domain_scores_gemma":[0.9963594,0.001021574,0.001239802,0.0002141848,0.0009814836,0.0001835385],"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":[0.001283512,0.0007873624,0.002916568,0.00002132956,0.0005999664,9.919095e-8,0.000051204,0.001437002,0.002321832,0.007436821,0.0007987068,0.9823456],"study_design_scores_gemma":[0.03535349,0.004381107,0.002242064,0.0002899093,0.0007692161,8.226395e-7,0.00006534216,0.2370747,0.1147345,0.5680774,0.03629488,0.0007164542],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4063323,0.0002362236,0.5912951,0.0001853675,0.0006480223,0.001087273,0.00004405544,0.00001461336,0.0001571276],"genre_scores_gemma":[0.9877511,0.0002846486,0.009368699,0.0001573333,0.002177632,0.0001758086,0.00001847294,0.00004369324,0.00002256209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9816291,"threshold_uncertainty_score":0.5516857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490083729902546,"score_gpt":0.3993620245316521,"score_spread":0.3544611872326267,"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."}}