{"id":"W2808973977","doi":"10.1093/bioinformatics/bty466","title":"iMetaLab 1.0: a web platform for metaproteomics data analysis","year":2018,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metaproteomics; Computer science; Pipeline (software); Task (project management); Data mining; Data science; Database; World Wide Web; Metagenomics; Engineering; Biology; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008928393,0.004493981,0.002727876,0.006828277,0.001526896,0.00568712,0.00560454,0.001599105,0.04257342],"category_scores_gemma":[0.01740679,0.002660579,0.002723361,0.00513783,0.001234982,0.005073626,0.008975625,0.00544657,0.04080592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246966,"about_ca_system_score_gemma":0.003854111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003033396,"about_ca_topic_score_gemma":0.002456207,"domain_scores_codex":[0.996695,0.0007330404,0.0003965582,0.0006917071,0.001108162,0.0003754088],"domain_scores_gemma":[0.9939507,0.002194875,0.000846127,0.0009909129,0.001214703,0.0008026042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007149261,0.0009037758,0.01145216,0.008409425,0.003132797,0.002183047,0.002376295,0.009759746,0.0726248,0.01598817,0.6835537,0.1824669],"study_design_scores_gemma":[0.00148824,0.0004311813,0.01558251,0.001854995,0.0008982287,0.001679099,0.0006233757,0.1373215,0.09310615,0.05968234,0.6861906,0.001141749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006764082,0.001335864,0.2279198,0.001010824,0.0004569338,0.000975712,0.1044928,0.651241,0.005803082],"genre_scores_gemma":[0.04532464,0.001546699,0.501721,0.001714145,0.0003320682,0.005069819,0.285194,0.1515359,0.007561804],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04257342,"threshold_uncertainty_score":0.1424223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04160231172779637,"score_gpt":0.3111446754283295,"score_spread":0.2695423637005331,"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."}}