{"id":"W6939748493","doi":"10.6084/m9.figshare.14737223.v1","title":"Additional file 24 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; Breast cancer; Functional analysis; Quantitative proteomics; Human breast","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":[0.001954747,0.001701619,0.002103915,0.00283739,0.001071163,0.002170096,0.002691127,0.001440484,0.7414149],"category_scores_gemma":[0.01260766,0.0008379251,0.001599661,0.003833509,0.000442644,0.001926517,0.00147936,0.001265661,0.1581085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192697,"about_ca_system_score_gemma":0.00166516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004641714,"about_ca_topic_score_gemma":0.009415689,"domain_scores_codex":[0.9992162,0.0001021654,0.00009752504,0.0002790333,0.0001846663,0.0001204244],"domain_scores_gemma":[0.9920354,0.005757847,0.0004477899,0.000627961,0.0008375237,0.0002935284],"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":[0.0005939876,0.0001347104,0.002984643,0.004307938,0.0001933129,0.0001693515,0.0001109887,0.0009206592,0.00144773,0.001115011,0.9782248,0.009796889],"study_design_scores_gemma":[0.006638502,0.0004536781,0.04068839,0.002449553,0.0005070909,0.0008951434,0.0005199925,0.008124596,0.006983558,0.02221376,0.9101305,0.0003952856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000248824,0.00002983433,0.0008205348,0.00007385152,0.00003183896,0.00003890072,0.9958121,0.002432126,0.0005119398],"genre_scores_gemma":[0.007137997,0.0001169627,0.00627755,0.0003040941,0.00007542606,0.0007442156,0.9792607,0.002831149,0.003251896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7414149,"threshold_uncertainty_score":0.3688402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655733092240635,"score_gpt":0.2582732330426502,"score_spread":0.1926999238185866,"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."}}