{"id":"W2463330858","doi":"10.1118/1.4958022","title":"WE‐H‐207B‐01: Commissioning and QC","year":2016,"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":"Princess Margaret Cancer Centre","funders":"","keywords":"Workflow; Imaging phantom; Computer science; Medical physics; Quality assurance; Session (web analytics); Radiation treatment planning; Image quality; Medical imaging; Consistency (knowledge bases); Artificial intelligence; Medicine; Nuclear medicine; Image (mathematics); Radiology","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":[0.006780937,0.0008750061,0.0009344844,0.0007408359,0.001769488,0.002554369,0.001365631,0.001421941,0.08896216],"category_scores_gemma":[0.005581619,0.001053252,0.0005896133,0.0007476642,0.0007765212,0.001457931,0.001931049,0.00187754,0.02798326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003185691,"about_ca_system_score_gemma":0.004210141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006174824,"about_ca_topic_score_gemma":0.009532353,"domain_scores_codex":[0.9971479,0.0003650713,0.00006218698,0.0003351465,0.001804777,0.0002849337],"domain_scores_gemma":[0.9946063,0.0008501757,0.0001856128,0.001267495,0.002587417,0.0005030118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001826889,0.0005301623,0.003483655,0.0007217365,0.000078048,0.0004668117,0.001620454,0.02045403,0.2714656,0.02569891,0.4612634,0.2123902],"study_design_scores_gemma":[0.000104867,0.0003889557,0.003947877,0.00007847532,0.00002699458,0.0002794305,0.0001451925,0.01817016,0.2129702,0.00152809,0.7622429,0.0001169013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05073141,0.001694812,0.4865245,0.005016037,0.005303704,0.002842387,0.01412006,0.04402252,0.3897446],"genre_scores_gemma":[0.2455055,0.0008744714,0.2445608,0.001262012,0.0007027737,0.001777768,0.008749925,0.03527902,0.4612877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08896216,"threshold_uncertainty_score":0.2976081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022299772660913,"score_gpt":0.287978619468937,"score_spread":0.2777556217423279,"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."}}