{"id":"W4317938234","doi":"10.1016/j.jvsvi.2023.100004","title":"Introducing JVS-Vascular Insights","year":2023,"lang":"en","type":"article","venue":"JVS-Vascular Insights","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Communication (Canada)","funders":"","keywords":"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004040945,0.0006222714,0.000914041,0.0007974308,0.0003420767,0.0001488103,0.0004388652,0.0002363404,0.0005864049],"category_scores_gemma":[0.0001902802,0.0005162607,0.0008771861,0.001764001,0.0001640968,0.0004326388,0.0004328759,0.0004670739,0.004856939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204791,"about_ca_system_score_gemma":0.0001480137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007511285,"about_ca_topic_score_gemma":0.0000599979,"domain_scores_codex":[0.9952864,0.0002376091,0.0007394131,0.001323337,0.001499872,0.0009133482],"domain_scores_gemma":[0.9968153,0.00006061024,0.000142357,0.00210749,0.0002337731,0.0006404453],"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":[0.001708651,0.008570747,0.01677518,0.009041591,0.02811038,0.02641203,0.0453283,0.02674113,0.1406243,0.04065467,0.4142202,0.2418128],"study_design_scores_gemma":[0.003976713,0.0003044579,0.06323968,0.0003624784,0.0008578294,0.00003103341,0.0005158492,0.009709575,0.001854524,0.001341555,0.9168928,0.0009135105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724551,0.003844259,0.0007332679,0.001570827,0.001179573,0.001603471,0.00000586165,0.001539785,0.0170679],"genre_scores_gemma":[0.9851997,0.001250692,0.0009871201,0.003183912,0.001882109,0.0002946676,0.0004431269,0.0002012741,0.00655734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5026726,"threshold_uncertainty_score":0.9997289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366845957606444,"score_gpt":0.2475282863443567,"score_spread":0.2338598267682923,"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."}}