{"id":"W6920752228","doi":"10.6084/m9.figshare.12672667.v1","title":"Additional file 1 of Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quantitative assessment; Computed tomographic angiography; Triglyceride; Volume (thermodynamics); Computed tomographic; Angiography; Quantitative analysis (chemistry); Coronary angiography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00139326,0.0008382637,0.001050665,0.001809005,0.0006637764,0.001232633,0.00139696,0.00091036,0.7869745],"category_scores_gemma":[0.02820479,0.0004271745,0.0005830728,0.003275156,0.0001975876,0.001337334,0.0007441995,0.0008131632,0.1124087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008150758,"about_ca_system_score_gemma":0.001274402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006940676,"about_ca_topic_score_gemma":0.008983335,"domain_scores_codex":[0.9991941,0.0001698281,0.0001849283,0.0002053424,0.0001456935,0.0001001006],"domain_scores_gemma":[0.982124,0.01195053,0.001887088,0.001160321,0.00238634,0.0004917366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000445151,0.0001115933,0.005793212,0.001017581,0.000044758,0.00007494861,0.00004766937,0.0003354081,0.00005405187,0.0006376302,0.9833254,0.008112662],"study_design_scores_gemma":[0.00841864,0.0006366124,0.09574742,0.004578467,0.0003514976,0.001507572,0.0007252942,0.003668087,0.001123097,0.01550063,0.8675224,0.0002203206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003548358,0.00001373536,0.0001906139,0.00009800983,0.00001380847,0.00009301561,0.9979473,0.000101485,0.001187298],"genre_scores_gemma":[0.01740023,0.0001829208,0.00254188,0.0006878965,0.0001796511,0.002437584,0.964191,0.0005004556,0.01187835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2130255,"threshold_uncertainty_score":0.3038549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184324550118758,"score_gpt":0.2940357810123662,"score_spread":0.2621925355111787,"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."}}