{"id":"W1983501063","doi":"10.1118/1.2747305","title":"Comparison of maximum intensity projection and digitally reconstructed radiographic projection for carotid artery stenosis measurement","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Maximum intensity projection; Digital subtraction angiography; Stenosis; Projection (relational algebra); Nuclear medicine; Digital radiography; Angiography; Medicine; Internal carotid artery; Radiology; Computed radiography; Radiography; Mathematics; Artificial intelligence; Algorithm; Computer science; Image quality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007091447,0.0006392877,0.0005703437,0.002245947,0.0001873626,0.001088941,0.000605329,0.0008720784,0.001622838],"category_scores_gemma":[0.02457889,0.0004919682,0.0004919748,0.001130017,0.0004392074,0.000700056,0.0006939922,0.0005018325,0.0005691333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188307,"about_ca_system_score_gemma":0.0003456095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006221795,"about_ca_topic_score_gemma":0.0008567839,"domain_scores_codex":[0.9956535,0.002426291,0.0003073158,0.0004124272,0.001067926,0.000132456],"domain_scores_gemma":[0.9873815,0.008274034,0.0007758782,0.001018479,0.002205492,0.0003446864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01455352,0.0007257606,0.1712523,0.001234538,0.001015223,0.001068533,0.001037737,0.01606772,0.2130372,0.001692058,0.001282416,0.577033],"study_design_scores_gemma":[0.0005438149,0.006506114,0.7021416,0.0001413409,0.001100397,0.008148376,0.0004945759,0.1595158,0.1151191,0.001526418,0.004423889,0.0003385153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884373,0.002825296,0.1035125,0.0001759307,0.00008727866,0.0002279256,0.0003764155,0.0008275638,0.003529861],"genre_scores_gemma":[0.9201748,0.0006802549,0.07797915,0.00005174655,0.0000503572,0.0001126229,0.0003441824,0.0001607566,0.0004460817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007091447,"threshold_uncertainty_score":0.0375036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851151097635834,"score_gpt":0.2925468097497009,"score_spread":0.2540352987733426,"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."}}