{"id":"W1606013241","doi":"10.1109/nssmic.2003.1352488","title":"PET kinetic modeling without the need of input curve","year":2004,"lang":"en","type":"article","venue":"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Blood flow; Perfusion; Blood volume; Kinetic energy; Biomedical engineering; Region of interest; Blood sampling; Positron emission tomography; Perfusion scanning; Nuclear medicine; Chemistry; Computer science; Mathematics; Artificial intelligence; Cardiology; Medicine; Physics; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342776,0.001039718,0.0006482447,0.0004863847,0.0001695329,0.0009614203,0.001177692,0.0008534127,0.003785594],"category_scores_gemma":[0.00263167,0.0005187211,0.0008228889,0.0007456566,0.0002517476,0.001096679,0.0003802702,0.0006717248,0.003292228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444042,"about_ca_system_score_gemma":0.0005277037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521869,"about_ca_topic_score_gemma":0.001164055,"domain_scores_codex":[0.9997247,0.00003546568,0.00002185535,0.00008096833,0.000115703,0.00002132169],"domain_scores_gemma":[0.9992518,0.0003330483,0.00005901204,0.0001781365,0.000162371,0.00001563312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004819775,0.0001219191,0.002082493,0.0009937609,0.0001946625,0.0004125884,0.0001317158,0.4481892,0.1755189,0.008955233,0.00457809,0.3583395],"study_design_scores_gemma":[0.00001549211,0.00009604864,0.0009526642,0.00002615666,0.00006627233,0.0005124776,0.00001492307,0.9045216,0.07236008,0.003663681,0.01771931,0.00005128489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00571553,0.0002421728,0.989026,0.00005253568,0.00002753575,0.00004783145,0.0003647897,0.003105379,0.001418221],"genre_scores_gemma":[0.3486285,0.001584476,0.6322167,0.0002006117,0.00006923016,0.0005121289,0.003346175,0.003189458,0.0102528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003785594,"threshold_uncertainty_score":0.01266402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124424135339252,"score_gpt":0.2966161744835433,"score_spread":0.2653719331301508,"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."}}