{"id":"W2147241486","doi":"","title":"Estimation of Radiation Dosimetry for some Common SPECT-CT Exams","year":2013,"lang":"en","type":"article","venue":"International Journal of Biotechnology for Wellness Industries","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuclear medicine; Medicine; Dosimetry; Single-photon emission computed tomography; Tomography; Effective dose (radiation); Radiation exposure; Medical physics; Medical imaging; Spect imaging; Emission computed tomography; Radiology; Positron emission tomography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046177,0.0004256867,0.0004079751,0.001932554,0.0002802559,0.0003925835,0.0005743076,0.0005154791,0.001830945],"category_scores_gemma":[0.003326953,0.0002461385,0.0006587047,0.001560339,0.0003651489,0.0002675162,0.0003597665,0.000343927,0.0004118875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826898,"about_ca_system_score_gemma":0.0002778815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008342639,"about_ca_topic_score_gemma":0.001237228,"domain_scores_codex":[0.9991434,0.000269165,0.00008708932,0.0001709653,0.0002849852,0.00004440636],"domain_scores_gemma":[0.9978082,0.001136935,0.0003537253,0.0002733036,0.000380294,0.00004755436],"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":[0.002401089,0.0002488009,0.2805185,0.002255357,0.0005300857,0.001479735,0.002465517,0.03472176,0.3594652,0.001985753,0.001511388,0.3124169],"study_design_scores_gemma":[0.00005918897,0.002938364,0.2970769,0.0001805121,0.0007102765,0.008948604,0.0009869883,0.02532027,0.64433,0.00150769,0.01779121,0.0001500347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564599,0.01047487,0.1259295,0.0001664379,0.00004527689,0.0001624508,0.001316661,0.000544053,0.004901016],"genre_scores_gemma":[0.9613011,0.002159566,0.034016,0.00003921513,0.00001938746,0.00008843429,0.001092881,0.0001859393,0.0010974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001932554,"threshold_uncertainty_score":0.006125093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594553030452616,"score_gpt":0.3006154312033575,"score_spread":0.2846699008988314,"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."}}