{"id":"W2508840668","doi":"10.1118/1.4961791","title":"Poster ‐ 17: Characterization and correction of radiation induced background in scanning water tanks","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Electrometer; Detector; Optics; Dosimetry; Linear particle accelerator; Photon; Nuclear medicine; Physics; SIGNAL (programming language); Radiation; Particle detector; Imaging phantom; Materials science; Beam (structure); Medicine; Computer science","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":[0.0008946349,0.0005099404,0.0003709532,0.000505947,0.0003658302,0.0006119976,0.0007110114,0.0005577849,0.003416095],"category_scores_gemma":[0.001560359,0.0001975778,0.0002597217,0.0004070105,0.0003923037,0.0004889051,0.0005224292,0.0004147585,0.001292791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005679877,"about_ca_system_score_gemma":0.0008161647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213119,"about_ca_topic_score_gemma":0.001601516,"domain_scores_codex":[0.9992874,0.0001042143,0.00003106972,0.000131436,0.0003834605,0.00006245095],"domain_scores_gemma":[0.9992242,0.0001857689,0.0001379174,0.00007685494,0.0003286986,0.00004660812],"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":[0.0007223274,0.00007811902,0.02222445,0.00036524,0.00004338943,0.000221445,0.0002528434,0.002023925,0.9250555,0.000283626,0.001067454,0.04766177],"study_design_scores_gemma":[0.00002095164,0.0005632478,0.03395708,0.00002681394,0.00005077582,0.0004995578,0.0001076271,0.00686303,0.9525072,0.000143143,0.005227136,0.0000334174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8460046,0.000852776,0.1445377,0.0002053815,0.00007414047,0.0001810788,0.0005573808,0.002548666,0.005038317],"genre_scores_gemma":[0.942081,0.0002404968,0.05024828,0.00016043,0.00001963919,0.0001128744,0.000749679,0.0004586847,0.005928922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003416095,"threshold_uncertainty_score":0.01142794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099852386870044,"score_gpt":0.2673663449344036,"score_spread":0.2563678210657032,"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."}}