{"id":"W2084864412","doi":"10.1111/febs.12502","title":"Proteomics methods for subcellular proteome analysis","year":2013,"lang":"en","type":"review","venue":"FEBS Journal","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Proteome; Protein subcellular localization prediction; Quantitative proteomics; Subcellular localization; Computational biology; Cell fractionation; Organelle; Complement (music); Biology; Cell biology; Bioinformatics; Biochemistry; Cytoplasm","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":[0.002151959,0.002385923,0.002633245,0.005206357,0.0007503168,0.002049709,0.002807434,0.001992425,0.007842465],"category_scores_gemma":[0.001303422,0.001004101,0.001274275,0.005116313,0.001414823,0.003062488,0.002221081,0.004683054,0.01961122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272132,"about_ca_system_score_gemma":0.001100351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007341075,"about_ca_topic_score_gemma":0.0006375827,"domain_scores_codex":[0.9983183,0.0002089092,0.000108819,0.0003491862,0.000933414,0.00008150553],"domain_scores_gemma":[0.9992817,0.0001964944,0.00007877693,0.000104728,0.0002894599,0.00004885446],"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":[0.00008984171,0.0001203258,0.0002387684,0.01598843,0.0002228742,0.0004585149,0.000135326,0.001184433,0.1150848,0.02866242,0.08167213,0.7561422],"study_design_scores_gemma":[0.0000104058,0.00004609778,0.0003462914,0.0005518533,0.00003953605,0.0009871391,0.00003159549,0.0005664652,0.02067118,0.007562398,0.9691366,0.00005050073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009649089,0.8463457,0.1299377,0.001537586,0.003024333,0.0002601414,0.0009477961,0.001435579,0.01554635],"genre_scores_gemma":[0.005723643,0.883264,0.09193631,0.001119749,0.001312139,0.0004957216,0.001666368,0.000284422,0.01419767],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007842465,"threshold_uncertainty_score":0.02623564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07663033483577882,"score_gpt":0.4430972071880006,"score_spread":0.3664668723522218,"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."}}