{"id":"W2929768480","doi":"10.1117/1.jmi.6.2.021603","title":"Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"University of California, Irvine; Canon Medical Systems USA","keywords":"Medicine; Fractional flow reserve; Imaging phantom; Pulsatile flow; Coronary artery disease; Scanner; Coronary arteries; Nuclear medicine; Biomedical engineering; Radiology; Coronary angiography; Artery; Artificial intelligence; Cardiology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001633194,0.0001027855,0.0003073505,0.0001866285,0.0000328315,0.00001284413,0.0001176579,0.00004349334,0.00222544],"category_scores_gemma":[0.002013364,0.00008190252,0.000245691,0.0001029358,0.00006321108,0.0001884387,0.00005116979,0.0002485796,0.00001295319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000119093,"about_ca_system_score_gemma":0.0004613495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005458123,"about_ca_topic_score_gemma":0.000001906343,"domain_scores_codex":[0.9968597,0.00007575997,0.0008248118,0.0001252025,0.001968966,0.0001455914],"domain_scores_gemma":[0.9971076,0.0005096915,0.000511917,0.0001437082,0.001559878,0.0001672284],"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":[0.0007006715,0.000798156,0.08333212,0.0001749725,0.0001659198,0.0001663236,0.0001282649,0.0001346651,0.002294506,0.0001725132,0.005397348,0.9065346],"study_design_scores_gemma":[0.06043359,0.005485598,0.5232635,0.0184912,0.002923117,0.01301496,0.002077417,0.3171365,0.02359623,0.007595995,0.02513973,0.0008422067],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598096,0.001354144,0.03492966,0.002116454,0.001180894,0.0004836586,0.00001194103,0.00001046935,0.0001031563],"genre_scores_gemma":[0.9965666,0.00005992415,0.002778852,0.0002554152,0.000250814,0.000006895775,0.00004755155,0.00001624019,0.00001768687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9056923,"threshold_uncertainty_score":0.9986867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044256349212677,"score_gpt":0.3599811020074867,"score_spread":0.3157247527948097,"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."}}