{"id":"W6939750693","doi":"10.6084/m9.figshare.14737232","title":"Additional file 27 of PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quantitative analysis (chemistry); Proteomics; Functional analysis; Function (biology); Quantitative proteomics; Breast cancer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001711313,0.001649301,0.001789699,0.002580548,0.001046549,0.002028456,0.002339174,0.001335103,0.7609892],"category_scores_gemma":[0.01196796,0.0007701648,0.001488389,0.003671799,0.0004066177,0.00177933,0.001377981,0.001217729,0.1491845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221217,"about_ca_system_score_gemma":0.001594214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005449004,"about_ca_topic_score_gemma":0.01008845,"domain_scores_codex":[0.9993252,0.00008336973,0.00008873409,0.0002331591,0.0001629741,0.0001065619],"domain_scores_gemma":[0.9926608,0.005328715,0.0003839328,0.0005294295,0.0008530242,0.0002440728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005950661,0.0001226761,0.002783513,0.003457732,0.0001465574,0.0001591147,0.00009029508,0.000879135,0.001133684,0.001050585,0.9810436,0.008538049],"study_design_scores_gemma":[0.007248087,0.0004121201,0.03836409,0.002486222,0.0004444011,0.0009516538,0.0005252675,0.00812979,0.00636816,0.02090288,0.9138339,0.0003333865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000233931,0.00002309382,0.0005764935,0.00006869167,0.00002573144,0.0000360931,0.9968975,0.001614857,0.0005235931],"genre_scores_gemma":[0.006751937,0.0001091117,0.005210312,0.0002831415,0.00006459646,0.0006971154,0.9812059,0.002365707,0.003312315],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7609892,"threshold_uncertainty_score":0.3409198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05955463186866992,"score_gpt":0.2577408530938449,"score_spread":0.198186221225175,"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."}}