{"id":"W1986111440","doi":"10.1118/1.4740160","title":"Poster — Thur Eve — 52: Clinical use of nanoDots: In‐vivo dosimetry and treatment validation for stereotactic targets with VMAT techniques","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Imaging phantom; Nuclear medicine; Dosimeter; Thermoluminescent dosimeter; Dosimetry; Nanodot; Pinnacle; Materials science; Medicine; Radiation treatment planning; Biomedical engineering; Radiation therapy; Radiology; 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":[0.001422331,0.0003310936,0.0002018067,0.0003422034,0.0003274781,0.0005715655,0.0003195452,0.0004824297,0.006375168],"category_scores_gemma":[0.000911706,0.0001882741,0.0003314954,0.0001122363,0.0003312312,0.0002624332,0.0004098252,0.0004626421,0.001696378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314164,"about_ca_system_score_gemma":0.0002996198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006909431,"about_ca_topic_score_gemma":0.0007421499,"domain_scores_codex":[0.9997039,0.00008776418,0.00001819655,0.00006670351,0.00008728923,0.00003606554],"domain_scores_gemma":[0.9995893,0.00008560658,0.00005313229,0.00009380907,0.0001058107,0.00007234845],"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":[0.007385252,0.001517226,0.02133431,0.0003296242,0.0001163511,0.0009633016,0.0005534013,0.006202502,0.8033715,0.0008571543,0.009719024,0.1476503],"study_design_scores_gemma":[0.0004896864,0.01016709,0.07418326,0.00006022674,0.000108819,0.004344097,0.000163972,0.01307944,0.8512877,0.0005332881,0.04547902,0.000103476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411519,0.001635625,0.03299255,0.001016507,0.0005723528,0.0005313566,0.00102764,0.0007735809,0.02029865],"genre_scores_gemma":[0.9598435,0.0005000853,0.01453857,0.0002264297,0.0001342757,0.0001566268,0.0008729415,0.0004627552,0.02326462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006375168,"threshold_uncertainty_score":0.02132702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578980675155331,"score_gpt":0.3693453152507957,"score_spread":0.3114472477352626,"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."}}