{"id":"W2086791160","doi":"10.1088/1742-6596/250/1/012042","title":"Preliminary Dose Calibration Results Using a TENOMAG Polymer Gel Dosimeter and Optical CT (VISTA<sup>TM</sup>)","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dosimeter; Scanner; Calibration; Dosimetry; Materials science; Nuclear medicine; Optics; Percentage depth dose curve; Absorbed dose; Ionization chamber; Physics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001744009,0.0006465412,0.0003558256,0.0008397323,0.0003201475,0.0003528659,0.0006663419,0.0007478427,0.003059287],"category_scores_gemma":[0.00284438,0.0003611121,0.0004282397,0.0008161538,0.0004749154,0.0005005453,0.0005992965,0.0007629287,0.0004897917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457392,"about_ca_system_score_gemma":0.0003447878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060177,"about_ca_topic_score_gemma":0.001333761,"domain_scores_codex":[0.9990267,0.0002996595,0.00006038127,0.0001557767,0.0003962596,0.00006126631],"domain_scores_gemma":[0.9975553,0.001190035,0.0002643864,0.0003166561,0.0005953155,0.00007839419],"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":[0.0005430966,0.0002092886,0.008621964,0.0001976392,0.00005559394,0.00008090421,0.0002983551,0.003021819,0.9634747,0.0002977292,0.0002555308,0.02294333],"study_design_scores_gemma":[0.00001946023,0.00119367,0.01015895,0.00001350082,0.00006008431,0.0002679844,0.00007391673,0.003287904,0.9821464,0.00007289023,0.002673517,0.00003174859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756526,0.001968211,0.2123023,0.0003074672,0.0001117953,0.0005373518,0.001076249,0.001429764,0.006614194],"genre_scores_gemma":[0.7955745,0.0008267479,0.1959478,0.0003388273,0.00003224063,0.0003503704,0.0007303265,0.0005106006,0.005688496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003059287,"threshold_uncertainty_score":0.01023436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625146281262111,"score_gpt":0.2726637901592088,"score_spread":0.2564123273465876,"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."}}