{"id":"W2027390514","doi":"10.1194/jlr.r900018-jlr200","title":"Contributions of quantitative proteomics to understanding membrane microdomains","year":2009,"lang":"en","type":"review","venue":"Journal of Lipid Research","topic":"Caveolin-1 and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Lipid microdomain; Proteome; Proteomics; Lipid raft; Organelle; Caveolae; Cell biology; Chemistry; Biology; Membrane; Computational biology; Signal transduction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002687546,0.0002082448,0.001013271,0.0005009885,0.0001241759,0.00004531315,0.0005336831,0.0003332416,0.00001592272],"category_scores_gemma":[0.001269997,0.0001614794,0.0005155226,0.0005552752,0.0001649715,0.000005510899,0.0001476319,0.0007243002,0.000008394622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001950053,"about_ca_system_score_gemma":0.001613477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003187241,"about_ca_topic_score_gemma":0.000006302583,"domain_scores_codex":[0.9975489,0.0004296632,0.0008679907,0.0002365455,0.0005355087,0.0003813267],"domain_scores_gemma":[0.997781,0.000171885,0.0005599228,0.0002736353,0.001006138,0.0002074417],"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":[0.001594854,0.001407245,0.000007936976,0.03135343,0.002966177,0.0002096845,0.0005621262,0.00006392915,0.819854,0.01024041,0.02929262,0.1024476],"study_design_scores_gemma":[0.0003834183,0.001571962,3.971028e-7,0.004655088,0.0001396786,0.0002234136,0.0002313749,5.95614e-7,0.05390868,0.0002748011,0.9384236,0.0001870189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004416433,0.9900625,0.007814637,0.0002319524,0.0001563583,0.0006421334,0.0001099162,0.000001730525,0.0005391562],"genre_scores_gemma":[0.0008865283,0.9964069,0.001421992,0.0000147813,0.0007700819,0.000009965813,0.00004312781,0.00003012671,0.0004165348],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9091309,"threshold_uncertainty_score":0.6584937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.199747359991069,"score_gpt":0.4737114526977848,"score_spread":0.2739640927067158,"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."}}