{"id":"W2006328232","doi":"10.1118/1.3182357","title":"TU‐C‐304A‐09: Radiation Dose Reduction for Pediatric CT","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Nuclear medicine; Effective dose (radiation); Radiology; Radiation dose; Kappa; Image noise; Pediatric Radiology; Medical imaging; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001497715,0.0006435755,0.0004930534,0.0006541864,0.0001883679,0.0005343895,0.0007436533,0.0006319818,0.003657378],"category_scores_gemma":[0.003998419,0.0003097405,0.0005672654,0.0005344936,0.0002307172,0.0003261717,0.0003658128,0.0004473073,0.0006985116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007513794,"about_ca_system_score_gemma":0.0007653568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243408,"about_ca_topic_score_gemma":0.001393585,"domain_scores_codex":[0.9992179,0.0004192633,0.00003263898,0.00006351395,0.0002325638,0.00003418058],"domain_scores_gemma":[0.9982913,0.00101765,0.0001979992,0.0001627503,0.0002404011,0.00008986527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.012777,0.001210614,0.08234876,0.0009786912,0.0004606132,0.0007542801,0.0003298557,0.3200853,0.1972407,0.001646761,0.007505195,0.3746623],"study_design_scores_gemma":[0.0008425383,0.01070574,0.09270237,0.0001975536,0.0006579758,0.005631463,0.0001053996,0.6092585,0.2572969,0.0007911855,0.02163973,0.0001707751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7709952,0.003440589,0.2119036,0.0005257978,0.00008457409,0.0004340991,0.000863264,0.005084183,0.006668719],"genre_scores_gemma":[0.8520502,0.0008798703,0.1432733,0.0001363889,0.00004613187,0.0002367458,0.001005859,0.001017517,0.001353995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003657378,"threshold_uncertainty_score":0.01223511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149780422219957,"score_gpt":0.3018918064544977,"score_spread":0.286913764232502,"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."}}