{"id":"W2101175892","doi":"10.1074/mcp.m115.052480","title":"Molecular Consequences of Proprotein Convertase 1/3 (PC1/3) Inhibition in Macrophages for Application to Cancer Immunotherapy: A Proteomic Study","year":2015,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aptose Biosciences (Canada); Université de Sherbrooke","funders":"Institut National Du Cancer; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Proprotein convertase; Proprotein Convertases; Cancer immunotherapy; Immunotherapy; Cancer; Cancer research; PCSK9; Medicine; Computational biology; Chemistry; Biology; Internal medicine; Cholesterol","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":[0.0001330169,0.0002921149,0.0002475364,0.0001077503,0.000100107,0.0001972053,0.0001515071,0.0003088983,0.0005883421],"category_scores_gemma":[0.00006463682,0.00009107539,0.0002999359,0.0001106276,0.0001781882,0.0001388,0.00009385798,0.0004902324,0.0002643681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734336,"about_ca_system_score_gemma":0.0001471196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003414571,"about_ca_topic_score_gemma":0.0003476907,"domain_scores_codex":[0.9999183,0.000007617775,0.000006768717,0.00001730724,0.00002794588,0.00002204972],"domain_scores_gemma":[0.9999403,0.000008423975,0.00002033824,0.000004979377,0.00001127262,0.00001466496],"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":[0.00008090392,0.000007946809,0.00005213547,0.00001667824,0.000002558893,0.00002831817,0.000002684174,0.00001611352,0.9995393,0.00001398849,0.00001070329,0.0002287267],"study_design_scores_gemma":[0.00001120918,0.0001383199,0.002765043,0.000003129298,0.00001589281,0.0001978871,0.00001386361,0.0003612383,0.9955543,0.00002240058,0.0009142922,0.000002456615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942221,0.001931389,0.002428384,0.0001541913,0.00004941528,0.00003009137,0.000561228,0.00003788974,0.0005854025],"genre_scores_gemma":[0.9923376,0.001734923,0.00244891,0.0001277282,0.00001500327,0.00005058223,0.0008300895,0.00002811917,0.002426923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005883421,"threshold_uncertainty_score":0.001968145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367357829571364,"score_gpt":0.2894643191872319,"score_spread":0.2757907408915183,"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."}}