{"id":"W1971413206","doi":"10.1109/nssmic.2011.6153881","title":"Impact of erroneous kinetic model formulation in Direct 4D image reconstruction","year":2011,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Engineering and Physical Sciences Research Council","keywords":"Parametric statistics; Iterative reconstruction; Computer science; Image (mathematics); Artificial intelligence; Algorithm; Physics; Mathematics; Statistics","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":[0.005051383,0.001070158,0.0008996629,0.0005167013,0.0004544376,0.002200801,0.001198342,0.001989964,0.001557414],"category_scores_gemma":[0.02518974,0.00108336,0.001120125,0.0006827446,0.0009085935,0.001810913,0.001545912,0.001256874,0.0005184629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285539,"about_ca_system_score_gemma":0.001843587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008424952,"about_ca_topic_score_gemma":0.005403083,"domain_scores_codex":[0.9967219,0.001161552,0.0003018088,0.0003535785,0.001306612,0.000154462],"domain_scores_gemma":[0.9902133,0.006850795,0.0007303655,0.001225748,0.0008455171,0.0001343047],"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":[0.0003828199,0.00006312972,0.003604934,0.0002915736,0.0000933765,0.0005584975,0.0003372817,0.9481316,0.01642512,0.004621643,0.0007064896,0.02478345],"study_design_scores_gemma":[0.00002859862,0.00007666456,0.0009999903,0.00003577672,0.00003634906,0.0003615859,0.00005990227,0.9784642,0.01726978,0.001432235,0.001196547,0.0000382633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1228062,0.0004964772,0.8723988,0.0005955941,0.000102435,0.0001118573,0.0003268112,0.001702966,0.00145899],"genre_scores_gemma":[0.700043,0.0005211321,0.2953239,0.0003946119,0.00002940867,0.0001379777,0.0007483809,0.001015131,0.001786472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008424952,"threshold_uncertainty_score":0.02671462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358882159173999,"score_gpt":0.3350085868994229,"score_spread":0.2914197653076829,"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."}}