{"id":"W2511926802","doi":"10.1118/1.4961758","title":"Sci‐Thur AM: YIS – 08: Automated Imaging Quality Assurance for Image‐Guided Small Animal Irradiators","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Imaging phantom; Quality assurance; Image quality; Voxel; Nuclear medicine; Computer science; Software; Noise (video); Medical physics; Computer vision; Medicine; Image (mathematics)","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":[0.006446505,0.0006827667,0.0003734083,0.001606758,0.0004479574,0.0008948109,0.0009318242,0.0005767233,0.009479958],"category_scores_gemma":[0.007886625,0.0004262948,0.0004900881,0.0005708043,0.0007103318,0.0006873994,0.0007950425,0.0005193222,0.004301231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044652,"about_ca_system_score_gemma":0.001365879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133599,"about_ca_topic_score_gemma":0.00167584,"domain_scores_codex":[0.9977264,0.0006005421,0.0001274248,0.0001687079,0.001303599,0.00007346143],"domain_scores_gemma":[0.9945865,0.001083922,0.0006454991,0.0008657039,0.002641541,0.0001769164],"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":[0.002050948,0.000406657,0.01426947,0.0007564137,0.0001496239,0.0002455464,0.0005883012,0.01710599,0.4064902,0.003958384,0.02890259,0.5250758],"study_design_scores_gemma":[0.0004411411,0.002634992,0.05600385,0.0001590794,0.0001531843,0.00158521,0.00009669619,0.1952426,0.6300855,0.001955041,0.1114333,0.0002095547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1407118,0.0009125019,0.795119,0.0004730409,0.0001440517,0.001315447,0.001357573,0.0409011,0.01906535],"genre_scores_gemma":[0.3497982,0.000456072,0.628278,0.000275797,0.0001178347,0.001335483,0.00331044,0.004257757,0.01217044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009479958,"threshold_uncertainty_score":0.03409284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812781872142377,"score_gpt":0.2931040205677808,"score_spread":0.2749762018463571,"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."}}