{"id":"W2074238254","doi":"10.1118/1.2031060","title":"Sci‐PM Sat ‐ 01: Imaging performance of a bench‐top megavoltage CT scanner","year":2005,"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":"Alberta Cancer Foundation","funders":"","keywords":"Imaging phantom; Optics; Scanner; Detective quantum efficiency; Image resolution; Detector; Linearity; Physics; Medical imaging; Materials science; Attenuation; Tomosynthesis; Optical transfer function; Nuclear medicine; Image quality; Mammography; Computer science; Computer vision; Artificial intelligence","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":[0.0008893907,0.0003126364,0.0002648098,0.0004645355,0.0001946386,0.0006051481,0.0008937411,0.0006684131,0.01347665],"category_scores_gemma":[0.001107862,0.0003372502,0.0001624129,0.0004522835,0.000221382,0.0004644775,0.0003988392,0.000310983,0.001741196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736374,"about_ca_system_score_gemma":0.000427302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007505532,"about_ca_topic_score_gemma":0.0006348309,"domain_scores_codex":[0.9997501,0.0000632672,0.00001564658,0.0000528263,0.00009528051,0.00002296565],"domain_scores_gemma":[0.9992724,0.0003427016,0.00003893655,0.00008534505,0.0001781349,0.00008245494],"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":[0.001955087,0.0001689971,0.005846372,0.0004173526,0.00007163709,0.000343881,0.00009448019,0.004524662,0.9552957,0.0007136614,0.001917895,0.0286503],"study_design_scores_gemma":[0.0001505487,0.003120871,0.0493379,0.00006322086,0.0000981073,0.001759605,0.00009222078,0.07299004,0.864408,0.0002160193,0.00769802,0.00006544298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351449,0.0005757451,0.04803807,0.0003062516,0.00006206209,0.000169272,0.001927461,0.003126059,0.01065019],"genre_scores_gemma":[0.9409669,0.0002673794,0.04919675,0.0002619858,0.00003957473,0.00009776931,0.002577937,0.0002765378,0.006315214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347665,"threshold_uncertainty_score":0.04508388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004614293042712862,"score_gpt":0.2163727803886435,"score_spread":0.2117584873459306,"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."}}