{"id":"W2945950589","doi":"10.1016/j.jmir.2019.03.138","title":"Development of a Reference Planning Template for MR Linac treatment of Brain Patients","year":2019,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Healthcare and Venom Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Pinnacle; Radiation treatment planning; Medical physics; Nuclear medicine; Linear particle accelerator; Medicine; Radiation therapy; Dosimetry; Brain cancer; Computer science; Cancer; Radiology; Beam (structure); Physics; Optics","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":[0.001521144,0.0000403919,0.0002060556,0.0001716258,0.00005362285,0.000007769044,0.00006717115,0.00002949504,0.00001994083],"category_scores_gemma":[0.0004629417,0.0000238957,0.00002822371,0.0001161357,0.00009488613,0.00007674501,0.000009094682,0.00006431005,5.117014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003624539,"about_ca_system_score_gemma":0.000885234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538425,"about_ca_topic_score_gemma":8.222183e-7,"domain_scores_codex":[0.9986035,0.00003094848,0.0004125293,0.00007455869,0.0007670195,0.0001114185],"domain_scores_gemma":[0.9990393,0.00032833,0.000245589,0.00003382784,0.0001941224,0.000158813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001079153,0.0001733271,0.3906852,0.0001634144,0.00002448238,0.000004202694,0.003572484,0.000003966026,0.0008087521,0.00003656478,0.0005123093,0.6039074],"study_design_scores_gemma":[0.01116212,0.00656116,0.8330971,0.002731058,0.00005365714,0.0001317502,0.009205562,0.01409132,0.007881241,0.0001607187,0.114748,0.000176363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919889,0.001195273,0.0004606158,0.006021425,0.000113301,0.0001147187,0.000001445517,0.000001276842,0.0001030722],"genre_scores_gemma":[0.9962929,0.0002935163,0.003195729,0.0001188243,0.00005972784,0.000001162878,0.000001645706,0.000001813164,0.0000346313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.603731,"threshold_uncertainty_score":0.1570367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223024769266929,"score_gpt":0.4730310663096549,"score_spread":0.350728589382962,"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."}}