{"id":"W2056499061","doi":"10.1038/nature13302","title":"A draft map of the human proteome","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2298,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Human proteome project; Proteome; Pseudogene; Computational biology; Proteogenomics; Human genome; Genome; Biology; Gene; Transcriptome; ENCODE; Proteomics; Genetics; Genomics; Gene expression","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":[0.000925023,0.001316207,0.0008782223,0.002904555,0.0009917959,0.002290612,0.001175461,0.001306203,0.01414486],"category_scores_gemma":[0.002262539,0.0008050262,0.00111036,0.002822147,0.0003363996,0.001570711,0.001311652,0.001831153,0.01641181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009200199,"about_ca_system_score_gemma":0.005319671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006052073,"about_ca_topic_score_gemma":0.007193505,"domain_scores_codex":[0.9996634,0.00004171916,0.00005098997,0.00007758538,0.0001178006,0.00004846934],"domain_scores_gemma":[0.9980212,0.0002388003,0.0001260774,0.0002596428,0.001051593,0.0003026259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00200783,0.0002713451,0.002213934,0.004573469,0.0002452741,0.002109582,0.0006651318,0.002824112,0.2673636,0.0111733,0.3501802,0.3563723],"study_design_scores_gemma":[0.0000903025,0.0002210776,0.008589065,0.0004596207,0.0002287102,0.000974185,0.0002194693,0.001555535,0.03782753,0.007997537,0.9417634,0.00007353335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06328345,0.0411935,0.3213755,0.02256142,0.009568173,0.001247584,0.4662079,0.01713946,0.05742285],"genre_scores_gemma":[0.04262548,0.02154774,0.3390636,0.001879417,0.00114297,0.0006085153,0.5547015,0.001182677,0.03724804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01414486,"threshold_uncertainty_score":0.04731929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004875348483752633,"score_gpt":0.2714808862779066,"score_spread":0.2666055377941539,"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."}}