{"id":"W4236026989","doi":"10.1007/978-1-59745-281-6_17","title":"Microsomal Proteomics","year":2009,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Proteome; Proteomics; Golgi apparatus; Organelle; Secretion; Cell biology; Biology; Biochemistry; Microsome; Compartment (ship); Secretory protein; Chemistry; Computational biology; Endoplasmic reticulum; Enzyme","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":[0.0005929105,0.001419126,0.0008941184,0.001703959,0.001095077,0.001323192,0.001125249,0.00116947,0.007978882],"category_scores_gemma":[0.0005107649,0.0004412327,0.0009743617,0.00111332,0.0003594063,0.0008066131,0.00129403,0.001494681,0.01286777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007450436,"about_ca_system_score_gemma":0.0007844648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117612,"about_ca_topic_score_gemma":0.002478245,"domain_scores_codex":[0.9991781,0.00007613329,0.00006026771,0.0002309976,0.0003018056,0.0001526508],"domain_scores_gemma":[0.9997782,0.00002707831,0.00002130992,0.00004449611,0.00009294193,0.00003594745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001055753,0.00008568758,0.0005520703,0.0005848247,0.00007047702,0.0002658347,0.00005227796,0.0001448101,0.9642536,0.00271395,0.006054861,0.02511621],"study_design_scores_gemma":[0.00002909346,0.000209423,0.008933775,0.0001285219,0.00009386399,0.001844095,0.0001226449,0.001927451,0.7297376,0.002147846,0.2547767,0.000049036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1467486,0.04204457,0.6044684,0.005254477,0.003429267,0.004227075,0.06391954,0.01158865,0.1183195],"genre_scores_gemma":[0.268214,0.05062749,0.3410374,0.003072958,0.001006656,0.003522912,0.1421394,0.001851734,0.1885274],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007978882,"threshold_uncertainty_score":0.02669203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640646898815839,"score_gpt":0.4079524777140733,"score_spread":0.3915460087259149,"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."}}