{"id":"W6902002605","doi":"10.6084/m9.figshare.14737193.v1","title":"Additional file 15 of PIGNON: a protein–protein interaction-guided functional enrichment analysis for quantitative proteomics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quantitative analysis (chemistry); Functional analysis; Proteomics; Quantitative proteomics; Breast cancer; String (physics)","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":[0.00154232,0.001650386,0.001830882,0.002636068,0.001111877,0.00181457,0.002362655,0.001195161,0.7234464],"category_scores_gemma":[0.01007174,0.0006923018,0.001398219,0.003517186,0.000389768,0.001562694,0.001299551,0.001228082,0.1216092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122672,"about_ca_system_score_gemma":0.001740804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005533351,"about_ca_topic_score_gemma":0.01101469,"domain_scores_codex":[0.9993544,0.00008209236,0.00007159411,0.0002241542,0.0001632744,0.0001043432],"domain_scores_gemma":[0.9934442,0.004685384,0.0003711666,0.0004520924,0.0007947142,0.0002523945],"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":[0.0006772025,0.0001692685,0.003822676,0.004033772,0.0001798907,0.000183062,0.0001215534,0.001044067,0.001939427,0.001133865,0.9760655,0.01062974],"study_design_scores_gemma":[0.007335174,0.0006421581,0.05586144,0.002803378,0.000645748,0.001242448,0.0006497454,0.01156592,0.009900964,0.02285052,0.8860787,0.0004237711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0003261551,0.00002273663,0.0007296685,0.0000658936,0.00002806967,0.00004122619,0.9964821,0.001779357,0.0005247031],"genre_scores_gemma":[0.007798445,0.0001018592,0.006891056,0.0003305034,0.00005477927,0.0007861292,0.9786142,0.002090749,0.003332233],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7234464,"threshold_uncertainty_score":0.3944701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03619989650415512,"score_gpt":0.2670903320095193,"score_spread":0.2308904355053641,"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."}}