{"id":"W2070239230","doi":"10.1088/0031-9155/59/3/597","title":"Dose calibration optimization and error propagation in polymer gel dosimetry","year":2014,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of Victoria","funders":"","keywords":"Dosimetry; Dosimeter; Calibration; Thresholding; Bin; Simulated annealing; Computer science; Materials science; Optics; Mathematics; Nuclear medicine; Physics; Computer vision; Algorithm; Statistics; Image (mathematics); Medicine","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":[0.003404972,0.0008677221,0.0004537613,0.001050064,0.0003820944,0.000880243,0.0007303972,0.0006857765,0.00162496],"category_scores_gemma":[0.01348891,0.0005123011,0.000395641,0.0009401826,0.0007028084,0.001033909,0.001524134,0.001020835,0.000306366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105741,"about_ca_system_score_gemma":0.0006120781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007170868,"about_ca_topic_score_gemma":0.0008774704,"domain_scores_codex":[0.9974582,0.0006549464,0.0001633707,0.0004237193,0.00119656,0.0001032037],"domain_scores_gemma":[0.9920692,0.004550245,0.00133896,0.0009310476,0.001046013,0.00006440513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001188842,0.0001363588,0.007450926,0.0008198235,0.0001394704,0.000288744,0.001018686,0.1992255,0.60063,0.006825106,0.0007423941,0.181534],"study_design_scores_gemma":[0.00002142807,0.0003804204,0.008612179,0.00009627161,0.00008637604,0.0006430278,0.00008361774,0.114527,0.869105,0.001364089,0.004976183,0.000104348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.223755,0.002908439,0.7658147,0.0003677377,0.0001097904,0.0001604527,0.000157928,0.001992801,0.004733162],"genre_scores_gemma":[0.672859,0.0008746887,0.3215052,0.0001724285,0.00002232878,0.0001147862,0.0001846592,0.001026484,0.00324041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003404972,"threshold_uncertainty_score":0.01800746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05752066365706097,"score_gpt":0.3615906860690895,"score_spread":0.3040700224120285,"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."}}