{"id":"W4412244847","doi":"","title":"Quantitative proteomics identifies ferritin in the innate immune response of <em>C. elegans</em>","year":2011,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Innate immune system; Ferritin; Proteomics; Biology; Computational biology; Quantitative proteomics; Immune system; Immunology; Genetics; Biochemistry; 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":[0.0001638253,0.0002552528,0.0001889114,0.0002861895,0.000205583,0.000275794,0.0002340707,0.0004145941,0.000952758],"category_scores_gemma":[0.0001597345,0.0001776584,0.0001961636,0.0001068491,0.0002332664,0.0002089663,0.0001914733,0.0005467177,0.0002686498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004509389,"about_ca_system_score_gemma":0.0002584033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097166,"about_ca_topic_score_gemma":0.005109488,"domain_scores_codex":[0.9999132,0.000004827852,0.000005289796,0.00003223349,0.00002495569,0.00001949956],"domain_scores_gemma":[0.9998674,0.00002044527,0.00003251813,0.0000116417,0.00003492441,0.00003296848],"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":[0.0000570982,0.000006198621,0.0001882404,0.000015505,0.000002057007,0.000009142833,0.000005027481,0.00001462746,0.9991923,0.00003951299,0.0000443877,0.0004259828],"study_design_scores_gemma":[0.00002207699,0.000137424,0.05230231,0.00001837242,0.00002764592,0.0002595414,0.0000585651,0.001650209,0.9433968,0.0001589725,0.001954314,0.00001379794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946582,0.000607549,0.002666917,0.0001600331,0.0000285839,0.00001102833,0.0009608655,0.00007276081,0.0008341634],"genre_scores_gemma":[0.9892462,0.0003599427,0.003870533,0.0001713739,0.00001323744,0.00002040293,0.001181257,0.00009195487,0.00504514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002097166,"threshold_uncertainty_score":0.004169941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03735719673171171,"score_gpt":0.2531089634876673,"score_spread":0.2157517667559556,"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."}}