{"id":"W2506787170","doi":"10.1161/circulationaha.116.022940","title":"Identifying Low-Abundance Biomarkers","year":2016,"lang":"en","type":"letter","venue":"Circulation","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Abundance (ecology); Computational biology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001480649,0.000742546,0.001445238,0.0008156749,0.001308517,0.003159034,0.0007213717,0.01049886,0.002806234],"category_scores_gemma":[0.01688553,0.0004696944,0.0007072192,0.0004742897,0.001166099,0.002057933,0.0008521513,0.01548385,0.003290318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006533,"about_ca_system_score_gemma":0.0008751941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006334782,"about_ca_topic_score_gemma":0.001303937,"domain_scores_codex":[0.9983031,0.0005737067,0.0002939219,0.0001966811,0.0004497196,0.0001828028],"domain_scores_gemma":[0.995159,0.003034587,0.0002957731,0.0002572475,0.0007920554,0.0004613643],"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":[0.0004761697,0.0002243608,0.02470218,0.0003708951,0.000123325,0.03606706,0.0003636957,0.0002159047,0.00428823,0.007220833,0.7773222,0.1486252],"study_design_scores_gemma":[0.0005829213,0.0006288595,0.01628959,0.001467094,0.0004186627,0.06988241,0.001243,0.00443387,0.006907534,0.0647584,0.8332375,0.00015019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008702541,0.01139958,0.002051634,0.9311425,0.03384556,0.00004653738,0.0001595321,0.0001352166,0.01251696],"genre_scores_gemma":[0.09374525,0.008901302,0.00547799,0.696466,0.1841355,0.0001529281,0.0002807298,0.00008179658,0.01075863],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01049886,"threshold_uncertainty_score":0.009387851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567444473808431,"score_gpt":0.2644232417916107,"score_spread":0.2387487970535264,"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."}}