{"id":"W2934017706","doi":"10.1002/mp.13517","title":"Low dose positron emission tomography emulation from decimated high statistics: A clinical validation study","year":2019,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada); University Health Network","funders":"","keywords":"Imaging phantom; Positron emission tomography; Reproducibility; Iterative reconstruction; Nuclear medicine; Computer science; Medical physics; Artificial intelligence; Mathematics; Physics; Statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005385269,0.0001780408,0.0004387006,0.0000479172,0.00006746125,0.00003319,0.0001765763,0.0001826947,0.001073157],"category_scores_gemma":[0.0004002682,0.000142313,0.00010584,0.0003117544,0.0001063636,0.00009992946,0.00008880953,0.0005330844,0.0002085418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004303139,"about_ca_system_score_gemma":0.0001380525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001567215,"about_ca_topic_score_gemma":0.00000136258,"domain_scores_codex":[0.9975117,0.0001288037,0.0006374415,0.0004631343,0.001032525,0.0002264209],"domain_scores_gemma":[0.9982183,0.0004091842,0.0001681585,0.0005733272,0.0001645281,0.0004664799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005184145,0.01125453,0.6553814,0.0001605634,0.0003758793,0.00007705877,0.0003763956,0.000006005745,0.009565286,0.001097893,0.04349996,0.2776866],"study_design_scores_gemma":[0.01661239,0.00337532,0.8384138,0.00146298,0.001316652,0.00001159425,0.0001737067,0.05559118,0.03650744,0.04241705,0.003120075,0.0009978205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8467574,0.00001282853,0.1503783,0.00121819,0.0002186594,0.0009771172,0.00003640924,0.000244018,0.000157091],"genre_scores_gemma":[0.9886243,0.00002477904,0.00872447,0.0007319287,0.0005544694,0.00004979043,0.001170147,0.00003125348,0.00008883139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2766888,"threshold_uncertainty_score":0.99984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660318099583291,"score_gpt":0.3776184757415004,"score_spread":0.3510152947456674,"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."}}