{"id":"W2126920999","doi":"10.2967/jnmt.109.073486","title":"Optimization of Low-Dose CT Protocol in Pediatric Nuclear Medicine Imaging","year":2010,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine Technology","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Nuclear medicine; Protocol (science); Medicine; Medical imaging; Medical physics; Radiology; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009089644,0.000200111,0.0007934952,0.002562374,0.00004766795,0.000005167076,0.0003349476,0.0001300863,0.0012952],"category_scores_gemma":[0.001840864,0.0001468525,0.00008082602,0.001293594,0.0005022061,0.0002436773,0.00006113176,0.001286666,0.00001273593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007086383,"about_ca_system_score_gemma":0.0001315629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001973007,"about_ca_topic_score_gemma":0.000002161062,"domain_scores_codex":[0.9976646,0.00004207175,0.001295858,0.0002054828,0.0005074366,0.0002845667],"domain_scores_gemma":[0.997968,0.00007523811,0.001044229,0.0003754308,0.0003783878,0.0001587252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002961129,0.002478442,0.3650623,0.00228189,0.0003176157,0.004264912,0.004739191,0.001344875,0.3523814,0.009188612,0.1168887,0.1380909],"study_design_scores_gemma":[0.1454422,0.01979546,0.2598392,0.01026174,0.002404671,0.04272825,0.01741618,0.1278762,0.005024328,0.007889705,0.3592393,0.00208268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018561,0.0003889528,0.0003419163,0.1664836,0.001281479,0.01461051,0.000001364869,0.000254281,0.01478181],"genre_scores_gemma":[0.9929368,0.0001753494,0.004240394,0.001427753,0.001019146,0.0001022581,0.000001509346,0.00006987979,0.00002691943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3473571,"threshold_uncertainty_score":0.9996178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006967601560330513,"score_gpt":0.2913689140966108,"score_spread":0.2844013125362803,"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."}}