{"id":"W2970329071","doi":"10.1088/1742-6596/1305/1/012004","title":"Feasibility of radiosurgery dosimetry using NIPAM 3D dosimeters and x-ray CT","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Kelowna General Hospital; University of Victoria","funders":"","keywords":"Dosimeter; Radiosurgery; Dosimetry; Nuclear medicine; Irradiation; Voxel; Gamma knife; Materials science; X-ray; Medicine; Physics; Radiation therapy; Optics; Radiology; Nuclear physics","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":[0.002956344,0.000413427,0.0003119132,0.0005161513,0.0001787349,0.0007521886,0.0007169262,0.0004725108,0.001834973],"category_scores_gemma":[0.007146029,0.0004563668,0.0003727933,0.0003705787,0.0004488829,0.0007588067,0.0009566238,0.0005646618,0.0004650504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006015137,"about_ca_system_score_gemma":0.0004663982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007394855,"about_ca_topic_score_gemma":0.0006602269,"domain_scores_codex":[0.9974832,0.0006801448,0.0001600158,0.0003022465,0.001280063,0.00009432836],"domain_scores_gemma":[0.9969465,0.001302444,0.0005049145,0.0007183704,0.0004534916,0.00007424399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001333268,0.000124893,0.03525346,0.0003203723,0.00008869471,0.0003016743,0.0002944583,0.03708073,0.8058736,0.001946125,0.0004567816,0.116926],"study_design_scores_gemma":[0.00005251369,0.001157626,0.03218368,0.00006569378,0.00009216931,0.0008866655,0.00009696012,0.09732658,0.8621708,0.0003903712,0.005493267,0.00008370131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6625513,0.001528273,0.3262779,0.0002927911,0.00009257293,0.0003159158,0.0003090931,0.001969233,0.006662942],"genre_scores_gemma":[0.849804,0.000145635,0.1482364,0.0000477524,0.000009252159,0.0001176562,0.0001914909,0.0002372603,0.001210543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002956344,"threshold_uncertainty_score":0.01563483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530813834607195,"score_gpt":0.2893129585086731,"score_spread":0.2640048201626011,"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."}}