{"id":"W4402939787","doi":"10.1101/2024.09.27.615406","title":"MetaLab Platform Enables Comprehensive DDA and DIA Metaproteomics Analysis","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Metaproteomics; Computer science; Chemistry","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":[0.00236997,0.001793872,0.0007614608,0.001762329,0.0007947633,0.001960153,0.001668947,0.000934297,0.004514196],"category_scores_gemma":[0.003257959,0.0008688667,0.001043199,0.001021841,0.0005869133,0.001915796,0.003246744,0.00146214,0.003581093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939317,"about_ca_system_score_gemma":0.001497838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002769929,"about_ca_topic_score_gemma":0.002782739,"domain_scores_codex":[0.9986852,0.0001358252,0.000100359,0.0003798553,0.0005613359,0.0001374851],"domain_scores_gemma":[0.998624,0.0003412273,0.0001449688,0.0003117527,0.0004486029,0.0001295604],"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":[0.005064013,0.0007404037,0.02599713,0.001487391,0.001170063,0.001418242,0.000752497,0.0480894,0.4131543,0.01108238,0.1172815,0.3737626],"study_design_scores_gemma":[0.0002462904,0.0002459259,0.007202086,0.00008480361,0.0001319991,0.0004355799,0.0001974788,0.7030401,0.2199797,0.01167496,0.05651332,0.000247645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1955036,0.001023255,0.5156096,0.001068355,0.0003449131,0.000448568,0.01678996,0.257877,0.0113348],"genre_scores_gemma":[0.3717323,0.0004833968,0.5813727,0.0008657302,0.0001309468,0.000670907,0.02892119,0.009714272,0.006108541],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004514196,"threshold_uncertainty_score":0.01510143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07225809982584294,"score_gpt":0.3036627112244575,"score_spread":0.2314046113986146,"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."}}