{"id":"W2288921711","doi":"10.1097/rct.0000000000000375","title":"Implementation and Performance of Automated Software for Computing Right-to-Left Ventricular Diameter Ratio From Computed Tomography Pulmonary Angiography Images","year":2016,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Calipers; Pulmonary embolism; Software; Computed tomography angiography; Radiology; Nuclear medicine; Angiography; Computed tomography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004058771,0.0003113868,0.0009259645,0.00170561,0.0001368982,0.00006547203,0.0002195553,0.00009389589,0.00002919306],"category_scores_gemma":[0.00001406776,0.0002169604,0.0008250407,0.000992744,0.0001049486,0.0002890102,0.0001096393,0.0001149305,9.061375e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002977893,"about_ca_system_score_gemma":0.00004440636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000192959,"about_ca_topic_score_gemma":0.000002425619,"domain_scores_codex":[0.9976183,0.0001024695,0.001070953,0.0003486367,0.0004910958,0.000368538],"domain_scores_gemma":[0.9974895,0.0003542671,0.0008280911,0.0002796297,0.0007794016,0.0002691746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000466334,0.001069976,0.8317737,0.0004303041,0.00346301,0.0001241999,0.0003417009,0.00009080057,0.007984642,0.00002132338,0.01171715,0.1425169],"study_design_scores_gemma":[0.00300096,0.002259007,0.980768,0.001137601,0.0008656708,0.0001265733,0.00004199195,0.002034369,0.008444835,0.00005500967,0.000997592,0.0002684513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7912329,0.0008921655,0.2060991,0.0003929954,0.0004345069,0.0007502427,0.00007963829,0.0001089594,0.000009420102],"genre_scores_gemma":[0.876389,0.00007580306,0.1227934,0.0003560005,0.0002987086,0.000009547021,0.00004327801,0.00003279869,0.000001535223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1489943,"threshold_uncertainty_score":0.8847388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008673837655497202,"score_gpt":0.2587435047641332,"score_spread":0.250069667108636,"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."}}