{"id":"W4231356921","doi":"10.32920/ryerson.14663862","title":"Optimization of Image Quality in Paediatric Computed Tomography","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Collimated light; Image quality; Imaging phantom; Scanner; Image resolution; Iterative reconstruction; Nuclear medicine; Contrast-to-noise ratio; Image noise; Radiation dose; Medicine; Radiology; Optics; Artificial intelligence; Computer science; Image (mathematics); Physics","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":[0.001930005,0.0004180801,0.0003939267,0.0006680221,0.0001330819,0.0009660655,0.0004875289,0.0005199535,0.000857503],"category_scores_gemma":[0.009624184,0.0004396438,0.000316265,0.00062915,0.0003801925,0.0006049114,0.0005012283,0.000324951,0.0002475936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005197525,"about_ca_system_score_gemma":0.0003547546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006521925,"about_ca_topic_score_gemma":0.0006090677,"domain_scores_codex":[0.9985567,0.0005302537,0.0001155117,0.000174248,0.0005524557,0.00007091543],"domain_scores_gemma":[0.9962501,0.00188696,0.00089185,0.00022323,0.0006633535,0.00008440062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001396154,0.00008278929,0.03421917,0.0009608692,0.0001919137,0.0006212541,0.0003443703,0.03111342,0.7481367,0.00101517,0.000548103,0.18137],"study_design_scores_gemma":[0.000105458,0.002942232,0.1305537,0.0002092598,0.0005128316,0.006077256,0.0001896598,0.1010434,0.7481005,0.001958054,0.008175214,0.000132331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7154345,0.01450265,0.2654365,0.0003713581,0.00005560263,0.0001251158,0.0002817679,0.0008404667,0.002951995],"genre_scores_gemma":[0.8602613,0.00298168,0.1351278,0.0001142061,0.00003973846,0.00005141936,0.0003499837,0.0003824938,0.0006913757],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001930005,"threshold_uncertainty_score":0.01020694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197304962735523,"score_gpt":0.3085286912643515,"score_spread":0.2887981949907992,"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."}}