{"id":"W2020486777","doi":"10.1021/pr901063t","title":"Quantitative Analysis of Proteome Coverage and Recovery Rates for Upstream Fractionation Methods in Proteomics","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Proteome; Fractionation; Chromatography; Isoelectric focusing; Chemistry; Tandem mass spectrometry; Proteomics; Mass spectrometry; Sample preparation; Peptide; Biochemistry","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":[0.01096323,0.001859271,0.00151158,0.002411452,0.0008638004,0.001685226,0.002015303,0.002042287,0.001122063],"category_scores_gemma":[0.01638788,0.0006861764,0.00134076,0.002954913,0.001075133,0.002207853,0.0013774,0.001901392,0.00116236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019148,"about_ca_system_score_gemma":0.0004479269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006745649,"about_ca_topic_score_gemma":0.0006510916,"domain_scores_codex":[0.9843307,0.004492047,0.001006346,0.002758296,0.006861928,0.0005507944],"domain_scores_gemma":[0.9912684,0.004238746,0.001169397,0.001754501,0.001441513,0.0001273763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005951641,0.0002405222,0.002790767,0.0006879247,0.0001613172,0.0000554255,0.0002268061,0.001404126,0.9519541,0.0005132728,0.0002948927,0.04107569],"study_design_scores_gemma":[0.00001180054,0.0004962592,0.008943021,0.00005297119,0.000116951,0.0002050925,0.00006504995,0.006179032,0.9809941,0.0003314867,0.002542743,0.00006143003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3989382,0.0316017,0.5584078,0.0004375815,0.0005712949,0.00107574,0.002856317,0.002197828,0.003913441],"genre_scores_gemma":[0.5161798,0.01653327,0.4551003,0.0003158949,0.0001799597,0.001780618,0.004849541,0.001172052,0.003888556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01096323,"threshold_uncertainty_score":0.05797982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08332712766796334,"score_gpt":0.5267625092364053,"score_spread":0.443435381568442,"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."}}