{"id":"W4242526759","doi":"10.1007/978-1-4939-9597-4_20","title":"Prioritization of Therapeutic Targets of Inflammation Using Proteomics, Bioinformatics, and In Silico Cell-Cell Interactomics","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Druggability; Leukocyte extravasation; Proteomics; In silico; Computational biology; Glycoproteomics; Chemokine; Bioinformatics; Inflammation; Biology; Immunology; Gene","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":[0.001165805,0.001396571,0.002022701,0.002540522,0.0005390744,0.002536847,0.0007692222,0.0008156099,0.002564442],"category_scores_gemma":[0.001724048,0.0004504847,0.002220117,0.001294169,0.0002538503,0.0005462536,0.0005700396,0.0009447914,0.001045388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000820297,"about_ca_system_score_gemma":0.001644901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741589,"about_ca_topic_score_gemma":0.003346033,"domain_scores_codex":[0.9993683,0.0001655943,0.00004890461,0.0001429049,0.0001946298,0.00007962058],"domain_scores_gemma":[0.9993038,0.0003860053,0.0001116917,0.00004861525,0.0001030251,0.00004673683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003039266,0.00112701,0.07618058,0.004220028,0.002924995,0.001768949,0.0002228363,0.1238223,0.5935242,0.006431556,0.01369528,0.173043],"study_design_scores_gemma":[0.0003041532,0.0009070333,0.04134756,0.0002076908,0.002390811,0.00159854,0.0002906214,0.7201979,0.196964,0.01309773,0.02256661,0.000127326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.579315,0.01400607,0.3662322,0.00283639,0.0002872368,0.0007370049,0.02182417,0.007843118,0.006918914],"genre_scores_gemma":[0.7914655,0.003925836,0.1846987,0.0009244678,0.00009557325,0.0004151228,0.01657765,0.0003720535,0.001525062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002564442,"threshold_uncertainty_score":0.008578897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234031591101138,"score_gpt":0.3945870353281902,"score_spread":0.3711838762180764,"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."}}