{"id":"W2966780864","doi":"10.1161/jaha.119.012228","title":"Evaluation of Plasma Adenosine as a Marker of Cardiovascular Risk: Analytical and Biological Considerations","year":2019,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Adenosine; Internal medicine; Cardiology","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":[0.02243458,0.0007717951,0.001384247,0.001253502,0.0005791784,0.002490726,0.001240737,0.001489964,0.0003837479],"category_scores_gemma":[0.02644235,0.0003498136,0.0005037113,0.001562416,0.00180015,0.000734617,0.0007876802,0.0008673625,0.0001757639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194356,"about_ca_system_score_gemma":0.0008167665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230942,"about_ca_topic_score_gemma":0.001378185,"domain_scores_codex":[0.9844342,0.009370839,0.001390461,0.001354496,0.003206583,0.0002434495],"domain_scores_gemma":[0.9723697,0.01910086,0.004007117,0.001948482,0.002170357,0.0004034351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008390356,0.0001421226,0.9460266,0.0004380598,0.0007645172,0.0003613099,0.0004114386,0.001157122,0.01482874,0.001052091,0.0003539698,0.03362504],"study_design_scores_gemma":[0.00005524034,0.002347503,0.9590408,0.0002306979,0.0007908197,0.003477873,0.0005072156,0.0107998,0.01499297,0.00331282,0.00437212,0.0000721473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8488822,0.06413491,0.07571479,0.003395384,0.0003518065,0.0005701628,0.001260376,0.0001411097,0.005549326],"genre_scores_gemma":[0.9696023,0.002738781,0.02539303,0.0007957249,0.0003920602,0.0002960304,0.0002958926,0.00002886632,0.0004573139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02243458,"threshold_uncertainty_score":0.1186468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389403983892983,"score_gpt":0.3074754715094865,"score_spread":0.2835814316705567,"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."}}