{"id":"W2063649105","doi":"10.1016/j.meddos.2006.02.003","title":"Surface dose measurement using TLD powder extrapolation","year":2006,"lang":"en","type":"article","venue":"Medical dosimetry","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thunder Bay Regional Health Sciences Centre","funders":"","keywords":"Thermoluminescent dosimeter; Dosimeter; Extrapolation; Imaging phantom; Materials science; Percentage depth dose curve; Dose profile; Nuclear medicine; Thermoluminescence; Thermoluminescent Dosimetry; Beam (structure); Dosimetry; Biomedical engineering; Optics; Ionization chamber; Medicine; Luminescence; Mathematics; Physics; Optoelectronics","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":[0.001202777,0.0005958334,0.0008660177,0.001518995,0.0005082018,0.001026214,0.000990056,0.001009214,0.00707669],"category_scores_gemma":[0.002477253,0.0004919537,0.001109732,0.001679606,0.0004394423,0.0008239744,0.001264407,0.0008643895,0.001591534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005085725,"about_ca_system_score_gemma":0.0004916991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219091,"about_ca_topic_score_gemma":0.001302951,"domain_scores_codex":[0.998547,0.0004235485,0.0001047481,0.0002376857,0.0006154524,0.00007152576],"domain_scores_gemma":[0.9989991,0.0004307065,0.00008991491,0.0002206123,0.0002413671,0.00001838189],"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":[0.007717144,0.0004506205,0.04675659,0.002814661,0.0003706484,0.0006442872,0.001785189,0.02768891,0.67237,0.006025071,0.003441257,0.2299356],"study_design_scores_gemma":[0.0002582368,0.003132868,0.03806799,0.0001524021,0.0005186088,0.002047242,0.0004905179,0.05680809,0.8721176,0.001425894,0.02490115,0.00007941886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5651171,0.005697242,0.362423,0.0003582859,0.0002745154,0.000987765,0.004371315,0.003617383,0.05715347],"genre_scores_gemma":[0.9328921,0.00118518,0.05279129,0.000236049,0.00003351935,0.0002650609,0.00137263,0.0008622498,0.01036193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00707669,"threshold_uncertainty_score":0.02367383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499659363501755,"score_gpt":0.3108748017882313,"score_spread":0.2658782081532137,"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."}}