{"id":"W2039688593","doi":"10.4155/bio.09.105","title":"Industrialized MS-Based Proteomics in the Search for Circulating Biomarkers","year":2009,"lang":"en","type":"review","venue":"Bioanalysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Proteomics; Computational biology; Chemistry; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008559836,0.0003743169,0.001159897,0.0002885861,0.0001696595,0.00009646316,0.0008117122,0.0005704574,0.0000644302],"category_scores_gemma":[0.0001280141,0.000268736,0.001018074,0.001279907,0.00006345771,0.00002940294,0.00004045705,0.0005287511,0.000003853659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997453,"about_ca_system_score_gemma":0.0003031856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006801332,"about_ca_topic_score_gemma":0.000009438278,"domain_scores_codex":[0.9979114,0.0001034193,0.0008318144,0.0005556913,0.0002405798,0.0003570916],"domain_scores_gemma":[0.9980228,0.0004175177,0.0004961125,0.0009436093,0.00006729781,0.00005266201],"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":[0.000009143119,0.00006886877,0.000007282009,0.00224718,0.0002215618,0.0000025466,0.00001181181,0.00002431027,0.00007847945,0.000226001,0.00004812537,0.9970547],"study_design_scores_gemma":[0.0003844284,0.00001043211,1.620352e-7,0.002168573,0.001475628,0.000003445237,0.0000290762,0.001163261,0.0005509831,0.0003010835,0.9934699,0.000443016],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001608445,0.967765,0.02798831,0.0002068766,0.00001042747,0.002624485,0.0002870457,0.000105912,0.0009957992],"genre_scores_gemma":[0.00007540026,0.9078328,0.08631968,0.00004895763,0.000202049,0.004292884,0.001063962,0.00006646176,0.00009779064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9966117,"threshold_uncertainty_score":0.9999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084178438384546,"score_gpt":0.3970885675081616,"score_spread":0.288670723669707,"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."}}