{"id":"W2801202941","doi":"10.2316/j.2010.216.680-0064","title":"PET Attenuation Correction without Transmission Scan","year":2010,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Correction for attenuation; Attenuation; Transmission (telecommunications); Computer science; Physics; Optics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009904574,0.001202876,0.0008478449,0.001561103,0.0006052378,0.002085243,0.001007218,0.001974256,0.0235032],"category_scores_gemma":[0.002749635,0.00135494,0.0006238602,0.001909054,0.0005080308,0.001819141,0.0009631467,0.001666282,0.009556777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004086533,"about_ca_system_score_gemma":0.001135498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723172,"about_ca_topic_score_gemma":0.002887867,"domain_scores_codex":[0.9996775,0.00005991783,0.00002666947,0.00009806298,0.00009580643,0.0000419362],"domain_scores_gemma":[0.9993575,0.0001675087,0.00006854629,0.0002123894,0.0001636162,0.00003047978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002095323,0.0001334839,0.003618629,0.002735779,0.0003514556,0.002503246,0.0003454687,0.00526642,0.6389658,0.008627819,0.02743163,0.307925],"study_design_scores_gemma":[0.000185079,0.000675767,0.02292707,0.0004595893,0.001409545,0.02013745,0.0002808269,0.05364207,0.7004235,0.005220192,0.1944556,0.0001833069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08540452,0.009221093,0.8448995,0.001771355,0.001295554,0.0004340917,0.003550755,0.009254297,0.04416877],"genre_scores_gemma":[0.4679281,0.01266782,0.3975683,0.001687793,0.0004938745,0.000675889,0.007609708,0.008540576,0.102828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0235032,"threshold_uncertainty_score":0.0786261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007439503484362125,"score_gpt":0.2651405294524727,"score_spread":0.2577010259681106,"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."}}