{"id":"W3120736642","doi":"10.1038/s41598-020-80177-5","title":"Quantitative assessment of pulmonary artery occlusion using lung dynamic perfusion CT","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph's Hospital; London Health Sciences Centre; Western University; University of Toronto; Toronto General Hospital; Canon (Canada); Lawson Health Research Institute; Sunnybrook Health Science Centre","funders":"Department of Medicine, University of Toronto; University of Toronto; Canon Medical Systems Corporation","keywords":"Perfusion; Medicine; Occlusion; Lung; Perfusion scanning; Cardiology; Blood volume; Blood flow; Internal medicine; Radiology; Nuclear medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005317832,0.0001352067,0.0001981048,0.0001381893,0.0002299161,0.0000701439,0.00006502251,0.00002159969,0.00009463255],"category_scores_gemma":[0.00004000704,0.0001389355,0.00008706049,0.0004940006,0.00009134794,0.00033321,0.00009999243,0.0001373789,0.000002119083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479287,"about_ca_system_score_gemma":0.0001254379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003929228,"about_ca_topic_score_gemma":0.000005231422,"domain_scores_codex":[0.9984721,0.00003372385,0.0004384411,0.0004095283,0.0003819968,0.0002642446],"domain_scores_gemma":[0.9991252,0.00003210374,0.0001317413,0.0004936965,0.0001514143,0.00006587776],"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":[0.000001394534,0.00004228446,0.003122159,0.0001012947,0.00001267275,0.002619761,0.0001989659,0.1098146,0.881474,0.00003007048,0.00007837453,0.002504468],"study_design_scores_gemma":[0.00005198378,0.000005625634,0.002577204,0.0002162671,0.00002499596,0.001424787,0.000671503,0.9468128,0.04635285,0.001193001,0.0004809744,0.0001879922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179559,0.0009222036,0.07451422,0.00001293221,0.004503165,0.0001092082,0.000003059434,0.00009248617,0.001886803],"genre_scores_gemma":[0.9832717,0.00002157768,0.01627872,0.000005743003,0.00001399078,0.000002574659,0.00005433015,0.00002235487,0.0003289644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8369982,"threshold_uncertainty_score":0.5665625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162204891356389,"score_gpt":0.2949536648630504,"score_spread":0.2833316159494865,"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."}}