{"id":"W2037543550","doi":"10.1118/1.4894988","title":"Poster — Thur Eve — 02: Measurement of CT radiation profile width using Fuji CR imaging plate raw data","year":2014,"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 British Columbia; BC Cancer Agency; Interior Health","funders":"","keywords":"Clipping (morphology); Collimated light; DICOM; Flat panel detector; Optics; Computed radiography; Materials science; Image quality; Detector; Collimator; Projector; Digital radiography; Dose profile; Range (aeronautics); Nuclear medicine; Radiography; Computer science; Physics; Medicine; Laser; Artificial intelligence; Beam (structure); Radiology; 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":[0.001391937,0.0007995623,0.0004073294,0.001367323,0.0004463398,0.001496966,0.0009716311,0.0007175718,0.0351343],"category_scores_gemma":[0.003595198,0.0005863293,0.0005670959,0.0007016747,0.0003136909,0.0008531323,0.0007787985,0.0009012475,0.01572915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003463502,"about_ca_system_score_gemma":0.0006580806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008959067,"about_ca_topic_score_gemma":0.001143543,"domain_scores_codex":[0.9992855,0.00008602351,0.00006919471,0.0001360217,0.0003743061,0.00004894517],"domain_scores_gemma":[0.9981426,0.0004267935,0.0001472516,0.0003452998,0.0008138412,0.0001241716],"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":[0.001433621,0.0001988512,0.007997539,0.001122367,0.00008642083,0.0008479688,0.0003700631,0.005378739,0.5378724,0.00266227,0.04277541,0.3992542],"study_design_scores_gemma":[0.00008636581,0.0006283909,0.04721475,0.0001909848,0.0001060081,0.003010444,0.0002022036,0.06336509,0.7972146,0.001576951,0.08615322,0.0002510776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1385523,0.0008413253,0.7629323,0.0008297784,0.0009924974,0.001409072,0.009128734,0.03766203,0.04765199],"genre_scores_gemma":[0.3116616,0.0005839943,0.6397235,0.0004886701,0.0002159515,0.000765802,0.007076344,0.00809423,0.03139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0351343,"threshold_uncertainty_score":0.1175359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283936719289541,"score_gpt":0.2605188556492601,"score_spread":0.232125183720306,"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."}}