{"id":"W2020654832","doi":"10.1118/1.4815504","title":"WE‐A‐108‐11: Patient Specific Quality Assurance Tool in Rectal Brachytherapy","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Imaging phantom; Quality assurance; Brachytherapy; Nuclear medicine; Region of interest; Pixel; Dosimetry; Radiation treatment planning; Materials science; Medicine; Biomedical engineering; Computer science; Radiation therapy; Artificial intelligence; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003676175,0.0005737208,0.0003355775,0.0006254978,0.0002508443,0.001029084,0.0007333946,0.0006765043,0.002106472],"category_scores_gemma":[0.007445106,0.0004316815,0.0003527356,0.0004291311,0.0005805265,0.0005711886,0.0004314145,0.0005029857,0.0006717293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005528034,"about_ca_system_score_gemma":0.0006839843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000749103,"about_ca_topic_score_gemma":0.0006456908,"domain_scores_codex":[0.9984925,0.0005963791,0.00008435134,0.0001972783,0.0005496963,0.00007983148],"domain_scores_gemma":[0.9968353,0.001303973,0.0006290171,0.0004344496,0.0006540001,0.0001432582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002115026,0.0005196057,0.03518886,0.0008484697,0.0001751367,0.0005445161,0.0007376872,0.04319364,0.4055304,0.002627591,0.004122332,0.5043967],"study_design_scores_gemma":[0.0004592792,0.004529611,0.09179275,0.0001937255,0.0004509303,0.007022218,0.0001580389,0.208651,0.6371762,0.001597808,0.04771967,0.0002487115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3337737,0.002165707,0.645162,0.0004145617,0.00008574069,0.0006604217,0.0003137631,0.01272335,0.004700692],"genre_scores_gemma":[0.6011001,0.00034989,0.3942015,0.0001400201,0.00003849564,0.000428517,0.0004348917,0.0009475927,0.002359142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003676175,"threshold_uncertainty_score":0.01944172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339858957895189,"score_gpt":0.2911657941869792,"score_spread":0.2777672046080273,"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."}}