{"id":"W4399806223","doi":"10.3390/jcm13123583","title":"The Identification and Evaluation of Interleukin-7 as a Myokine Biomarker for Peripheral Artery Disease Prognosis","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Artificial Intelligence in Medicine (Canada); University of Toronto; St. Michael's Hospital","funders":"Blair Foundation","keywords":"Medicine; Myokine; Internal medicine; Biomarker; Critical limb ischemia; Proportional hazards model; Tendinopathy; Surgery; Arterial disease; Vascular disease; Tendon","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":[],"consensus_categories":[],"category_scores_codex":[0.005430931,0.0006564798,0.0006007623,0.00070606,0.0001582166,0.0006160458,0.0004103847,0.0004001737,0.0008321636],"category_scores_gemma":[0.005161841,0.0001477911,0.0006436371,0.0003816452,0.0002628005,0.0003758397,0.0004321987,0.0006710456,0.0002883966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002769843,"about_ca_system_score_gemma":0.000555052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003919226,"about_ca_topic_score_gemma":0.000527213,"domain_scores_codex":[0.9991264,0.0005277512,0.00004540077,0.0001003316,0.0001332244,0.00006685827],"domain_scores_gemma":[0.9955696,0.002180905,0.001081893,0.0002859944,0.0006147879,0.0002668615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001783776,0.0001729744,0.9631097,0.00006005973,0.0002229716,0.00007778565,0.00004809647,0.004012428,0.003091949,0.00007912046,0.0002097823,0.02713145],"study_design_scores_gemma":[0.0002451653,0.004830735,0.8466244,0.0001345367,0.0008463631,0.001026676,0.0001332849,0.1357942,0.007808141,0.0009957104,0.00151473,0.00004600418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929595,0.001820348,0.004443848,0.00017492,0.00001658911,0.0000421214,0.0001877792,0.00002479864,0.0003301463],"genre_scores_gemma":[0.9956722,0.0002985861,0.003643448,0.00003496584,0.00003265332,0.00002635246,0.0002121988,0.000003193972,0.00007647643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005430931,"threshold_uncertainty_score":0.02872187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172028065819164,"score_gpt":0.4713664476695539,"score_spread":0.3541636410876374,"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."}}