{"id":"W4281256844","doi":"10.1002/imt2.25","title":"iMetaLab Suite: A one‐stop toolset for metaproteomics","year":2022,"lang":"en","type":"article","venue":"iMeta","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Government of Canada; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute; University of Ottawa","keywords":"Suite; Metaproteomics; Computer science; Geography; 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":[0.003393018,0.004061636,0.001970198,0.00403873,0.0009344136,0.002774598,0.005162987,0.001358124,0.0220143],"category_scores_gemma":[0.006461386,0.001936928,0.002272137,0.002404438,0.0005036396,0.00291258,0.004008958,0.003352252,0.02402884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007581388,"about_ca_system_score_gemma":0.001994687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001720152,"about_ca_topic_score_gemma":0.001713609,"domain_scores_codex":[0.9981701,0.0003438001,0.0002210532,0.0003168628,0.0007083186,0.0002397447],"domain_scores_gemma":[0.9981828,0.0008521538,0.000193613,0.0002557325,0.0003201723,0.0001954436],"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":[0.002478247,0.0005078723,0.004966701,0.005296998,0.001213571,0.001321013,0.0007897111,0.006830716,0.06028569,0.01235856,0.6356081,0.2683429],"study_design_scores_gemma":[0.001149343,0.0003539889,0.006887242,0.0009209559,0.0004719748,0.002031456,0.0002247685,0.07826509,0.115865,0.02655132,0.7666452,0.0006336673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005877701,0.002500144,0.2840371,0.0004794187,0.000388845,0.0005888959,0.06614053,0.6318947,0.008092856],"genre_scores_gemma":[0.04020308,0.003183211,0.5560616,0.00162976,0.0002716611,0.00420931,0.235244,0.1462125,0.01298487],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0220143,"threshold_uncertainty_score":0.07364511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824424873421047,"score_gpt":0.2873602402632292,"score_spread":0.2591159915290187,"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."}}