{"id":"W2805554393","doi":"10.1038/s41598-018-25352-5","title":"Blooming Artifact Reduction in Coronary Artery Calcification by A New De-blooming Algorithm: Initial Study","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Stenosis; Medicine; Imaging phantom; Algorithm; Calcification; Artery; Cardiology; Coronary arteries; Artifact (error); Internal medicine; Radiology; Nuclear medicine; Artificial intelligence; Mathematics; Computer science","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":[0.003586726,0.0004461588,0.0005016393,0.0005338055,0.0001417737,0.0004924693,0.0004405706,0.00073655,0.0004171728],"category_scores_gemma":[0.01060904,0.0003438206,0.0003801089,0.0003751762,0.0003600173,0.0006800678,0.0003160031,0.0004111915,0.0001211428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003448216,"about_ca_system_score_gemma":0.0002625781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006066707,"about_ca_topic_score_gemma":0.0006690999,"domain_scores_codex":[0.9987375,0.0006170021,0.0001065873,0.0001453618,0.0003478016,0.00004579435],"domain_scores_gemma":[0.9945881,0.003588868,0.0004198167,0.0004146825,0.000905583,0.00008290747],"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":[0.005030654,0.0007875063,0.1178438,0.0007877158,0.0003506861,0.001085908,0.0004371911,0.01224297,0.5553557,0.0007307482,0.0002061058,0.3051409],"study_design_scores_gemma":[0.0003430384,0.01254943,0.2354647,0.0001260217,0.001071351,0.01245505,0.00015355,0.1889765,0.542209,0.00057304,0.005925689,0.0001527323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8840868,0.006491936,0.1075622,0.0001888422,0.00003802862,0.0002022492,0.00004696719,0.0002135375,0.001169426],"genre_scores_gemma":[0.8656407,0.00198703,0.1313729,0.0001347833,0.00007816697,0.00005825702,0.0000902324,0.00008999778,0.000548073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003586726,"threshold_uncertainty_score":0.01896864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294304284378685,"score_gpt":0.3194780295510563,"score_spread":0.2965349867072694,"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."}}