{"id":"W2331665610","doi":"10.1021/pr5007685","title":"Proteomic Analysis of Human Fetal Atria and Ventricle","year":2014,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Department of Medical Biophysics, University of Toronto; Canadian Institutes of Health Research; Canada Research Chairs; U.S. Department of Energy; Heart and Stroke Foundation of Canada; University of Toronto","keywords":"MYH7; Ventricle; Myosin; Myosin light-chain kinase; Atrial natriuretic peptide; Proteome; Cardiac Ventricle; MYH6; Gene isoform; Chemistry; Biology; Internal medicine; Biochemistry; Endocrinology; Medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001970218,0.00008989411,0.0003664099,0.0005673658,0.0001572874,0.00003519137,0.0003450769,0.0000953169,0.0002059739],"category_scores_gemma":[0.0002568325,0.00007628401,0.0001738054,0.0008582806,0.0001736807,0.0001078731,0.0001306372,0.0005926916,0.000002205148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007905142,"about_ca_system_score_gemma":0.00005851834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003110681,"about_ca_topic_score_gemma":0.000001800352,"domain_scores_codex":[0.998432,0.00008138694,0.000535185,0.0001623774,0.0005398786,0.0002491642],"domain_scores_gemma":[0.9985438,0.0001071056,0.0004113509,0.000306519,0.0004974418,0.0001337766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005795258,0.00008563658,0.005259814,0.00009488103,0.0001925145,0.000003047696,0.00005875172,0.00002716281,0.9897542,0.001607509,0.00005438549,0.002804171],"study_design_scores_gemma":[0.0007100328,0.0003383726,0.003538629,0.00009233112,0.0001809177,0.00002397703,0.00006268438,0.001541019,0.9759338,0.01651249,0.0009334628,0.0001322782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905308,0.00009504864,0.007803211,0.0002396728,0.000004242249,0.0002646966,0.000008553434,0.0000110905,0.001042688],"genre_scores_gemma":[0.9783339,0.00006816036,0.02112138,0.000002780019,0.0001228935,0.00004994353,0.000002708406,0.00001467293,0.0002835957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01490498,"threshold_uncertainty_score":0.3110771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.047707158422339,"score_gpt":0.4069615160005141,"score_spread":0.3592543575781751,"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."}}