{"id":"W2153299275","doi":"10.4103/0971-6203.62196","title":"Measurement of time delay for a prospectively gated CT simulator","year":2010,"lang":"en","type":"article","venue":"Journal of Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Foothills Medical Centre","funders":"","keywords":"Scanner; Imaging phantom; SIGNAL (programming language); Data acquisition; Computer science; Gating; Artifact (error); Simulation; Phase (matter); Nuclear medicine; Computer hardware; Computer vision; Physics; Artificial intelligence; 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":[0.0006643671,0.0001086369,0.0003188566,0.00002784252,0.00003229505,0.00000818414,0.0002569967,0.0000363329,0.0001918132],"category_scores_gemma":[0.00008206198,0.00008151611,0.000202368,0.00008614436,0.00008513784,0.0001116736,0.0000175581,0.0004133521,9.427603e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003369481,"about_ca_system_score_gemma":0.0002524428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006063561,"about_ca_topic_score_gemma":3.052608e-7,"domain_scores_codex":[0.99846,0.00002022219,0.0003952443,0.00008644646,0.0008931119,0.0001449631],"domain_scores_gemma":[0.9986689,0.00007632338,0.0004786036,0.0001205509,0.0005102804,0.0001453049],"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":[0.0006020663,0.004161929,0.01712491,0.0001492763,0.001956968,0.00002550571,0.0005958425,0.0006360186,0.5492609,0.03658548,0.01234193,0.3765591],"study_design_scores_gemma":[0.008169802,0.001710062,0.001038584,0.0006099112,0.0002553784,0.00003687647,0.00004184257,0.02284304,0.7885381,0.1284463,0.04767036,0.0006397506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1627133,0.0000558799,0.8362266,0.0003113747,0.0002002741,0.0002686435,0.00001360656,0.00001630792,0.000193989],"genre_scores_gemma":[0.9864362,0.000003965694,0.01235807,0.00004110951,0.001114004,0.000004896443,9.88884e-7,0.00002203235,0.00001871189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8238686,"threshold_uncertainty_score":0.332413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216236490053822,"score_gpt":0.3000661411407344,"score_spread":0.2879037762401962,"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."}}