{"id":"W2036692122","doi":"10.1002/prca.200700366","title":"The significance of organellar proteomics for the nervous system","year":2007,"lang":"en","type":"article","venue":"PROTEOMICS - CLINICAL APPLICATIONS","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Proteomics; Proteome; Nervous system; Organelle; Biology; Function (biology); Synaptic vesicle; Neuroscience; Computational biology; Vesicle; Cell biology; Bioinformatics; 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":[0.0006757563,0.0004039511,0.0003344622,0.0007240498,0.0004165626,0.001161284,0.0003610589,0.0007073628,0.0008052261],"category_scores_gemma":[0.000584751,0.0001360532,0.0002218519,0.0004458355,0.0008619817,0.001340585,0.0006163562,0.001339721,0.0004770451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005500981,"about_ca_system_score_gemma":0.0005773908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005040569,"about_ca_topic_score_gemma":0.0004427109,"domain_scores_codex":[0.9998197,0.00006219203,0.00001344804,0.00004222047,0.00004247782,0.00002002845],"domain_scores_gemma":[0.9995878,0.0001245355,0.00004616903,0.00004539749,0.0001106551,0.00008539715],"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":[0.0002180873,0.00004336999,0.003380753,0.001298522,0.0001132058,0.001353643,0.0002254745,0.0009338069,0.7797531,0.05142168,0.005218676,0.1560396],"study_design_scores_gemma":[0.00003120713,0.0006236113,0.06548338,0.0005686716,0.0001739182,0.008521305,0.0008673075,0.005650779,0.3245436,0.1374627,0.4558522,0.0002213973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2214992,0.5764138,0.1431382,0.02967242,0.003566567,0.00007916896,0.001254177,0.0007699425,0.02360648],"genre_scores_gemma":[0.6740349,0.2318624,0.08169921,0.00392734,0.001705147,0.00005776899,0.0007348231,0.0001137529,0.00586479],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001161284,"threshold_uncertainty_score":0.003991187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023042424665122,"score_gpt":0.3316772875799056,"score_spread":0.3086348629147835,"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."}}