{"id":"W1509665224","doi":"10.1120/jacmp.v15i2.4544","title":"An approach for measuring the spatial orientations of a computed‐tomography simulation system","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Computer science; Quality assurance; Plane (geometry); Orientation (vector space); Process (computing); Computer vision; Computed tomography; Simulation; Artificial intelligence; Optics; Physics; Mathematics; Geometry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510997,0.0001215041,0.000455751,0.00003421394,0.00009554093,0.00001570623,0.0003827348,0.00008016462,0.000006480555],"category_scores_gemma":[0.00005020192,0.00008000893,0.0003198981,0.0001632935,0.000197536,0.00008500538,0.00002012312,0.0004058301,1.627805e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567997,"about_ca_system_score_gemma":0.00007797562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004602525,"about_ca_topic_score_gemma":1.14633e-7,"domain_scores_codex":[0.998053,0.0001180779,0.0009916555,0.0001496664,0.0005443263,0.00014331],"domain_scores_gemma":[0.9971042,0.00129692,0.0009355093,0.0002362076,0.0002584985,0.0001686342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005479231,0.001942143,0.01164785,0.0001395347,0.0005788024,3.142839e-7,0.0004160057,0.09341609,0.000447964,0.2364346,0.0001173997,0.6543114],"study_design_scores_gemma":[0.003163935,0.0007993538,0.002065263,0.0001308238,0.0002135888,0.000001227395,0.0002927203,0.949468,0.002065769,0.04072908,0.0008357586,0.0002345269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01524809,0.000006994431,0.9836423,0.00003253516,0.0001750316,0.0002952392,0.000006578491,0.00002249692,0.0005707299],"genre_scores_gemma":[0.9226974,0.000001063792,0.07429583,0.00006966333,0.002890107,0.00001700732,0.000009252934,0.00001931359,4.285332e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9093465,"threshold_uncertainty_score":0.3262669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119498593760912,"score_gpt":0.3578094782874537,"score_spread":0.3266144923498446,"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."}}