{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001485648,0.0001681817,0.0002245269,0.00003591785,0.00006421691,0.00001184102,0.0002311228,0.00002729987,0.0001724914],"category_scores_gemma":[0.00003776134,0.0001579877,0.00007052583,0.0002239368,0.0001459975,0.00038826,0.00005690334,0.0003456262,0.00007594616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005597927,"about_ca_system_score_gemma":0.00003509148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005123489,"about_ca_topic_score_gemma":0.000002357975,"domain_scores_codex":[0.9987496,0.000008789578,0.0002529857,0.0001615038,0.0004712347,0.0003558858],"domain_scores_gemma":[0.9994943,0.00004798792,0.00003630702,0.0002327682,0.00002928635,0.0001593257],"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":[0.00001120799,0.000112273,0.007624657,0.0003101885,0.00004748544,0.00002949929,0.0007506735,0.05511206,0.004577614,0.0003174803,0.00320621,0.9279007],"study_design_scores_gemma":[0.001197782,0.00003671158,0.00179992,0.0004500874,0.00005110939,0.00003574937,0.0001179937,0.8166342,0.1413197,0.001192168,0.03647939,0.0006852242],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244568,0.001211353,0.06072497,0.0004328507,0.0004729425,0.0001223086,0.000009797053,0.0003490893,0.01221983],"genre_scores_gemma":[0.9977826,0.00009596458,0.0009364797,0.0003137946,0.000726207,0.000007268246,0.00001017848,0.00003551369,0.0000920185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9272154,"threshold_uncertainty_score":0.6442552,"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."}}