{"id":"W1988297067","doi":"10.1021/ac403551f","title":"Fine Tuning of Proteomic Technologies to Improve Biological Findings: Advancements in 2011–2013","year":2013,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Nanotechnology; Biochemical engineering; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0156359,0.001155104,0.0006939705,0.005624371,0.001565201,0.003873486,0.00120793,0.001744928,0.02124887],"category_scores_gemma":[0.01190016,0.0005561389,0.0008544245,0.004842332,0.0009860966,0.003435829,0.003582658,0.002724224,0.0196479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01147973,"about_ca_system_score_gemma":0.01970429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160084,"about_ca_topic_score_gemma":0.03656217,"domain_scores_codex":[0.990687,0.0005777256,0.0005740037,0.0005406761,0.005964401,0.001656381],"domain_scores_gemma":[0.9740336,0.0008735723,0.001121825,0.0009808339,0.0180299,0.004960373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004689786,0.0003559994,0.00585691,0.000865956,0.00005196085,0.0001750434,0.0001591914,0.0003968522,0.01648887,0.00430516,0.4349247,0.5359504],"study_design_scores_gemma":[0.00001866571,0.0001489718,0.02784089,0.0003769757,0.00002857687,0.0002266178,0.0001893695,0.000396574,0.0218658,0.0008599652,0.9479885,0.00005911198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.08458932,0.1151263,0.03189883,0.1644146,0.04003381,0.001710294,0.03905666,0.008621657,0.5145486],"genre_scores_gemma":[0.2568223,0.1517219,0.09611286,0.02750621,0.007557097,0.0008892809,0.07245106,0.003343788,0.3835954],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02124887,"threshold_uncertainty_score":0.08329171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924213149204079,"score_gpt":0.3414190863844589,"score_spread":0.3021769548924181,"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."}}