{"id":"W2023124677","doi":"10.1016/j.jprot.2013.10.023","title":"SAINTexpress: Improvements and additional features in Significance Analysis of INTeractome software","year":2013,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":749,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Institute of General Medical Sciences","keywords":"Interactome; Computational biology; Computer science; Software; Biology; Genetics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.004960661,0.002840932,0.001735882,0.003028497,0.001288774,0.002580481,0.004492051,0.001302509,0.04315136],"category_scores_gemma":[0.01462218,0.002140611,0.003673706,0.002751492,0.0006315925,0.003357111,0.002622423,0.004533424,0.02250098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006811244,"about_ca_system_score_gemma":0.002054078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003405494,"about_ca_topic_score_gemma":0.004604735,"domain_scores_codex":[0.9977517,0.0004556137,0.0003358319,0.0005060456,0.0007315906,0.0002192423],"domain_scores_gemma":[0.9936572,0.003721507,0.000307642,0.001040838,0.0009833405,0.000289413],"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":[0.005230535,0.000927283,0.01708897,0.003324147,0.00174242,0.001264983,0.001641999,0.006061359,0.06002061,0.01069327,0.5805655,0.3114389],"study_design_scores_gemma":[0.002192728,0.000489766,0.02643598,0.0005302788,0.00127022,0.002241396,0.0003094603,0.2304359,0.2277621,0.02834218,0.4791766,0.0008133475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01024406,0.0003483623,0.2432798,0.000341674,0.0003254018,0.0002213197,0.01891815,0.7239117,0.002409565],"genre_scores_gemma":[0.07105485,0.0007233607,0.6099578,0.001107378,0.0003600429,0.00161483,0.08198281,0.2203756,0.0128233],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04315136,"threshold_uncertainty_score":0.1443557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004090646427075568,"score_gpt":0.2198336886377076,"score_spread":0.2157430422106321,"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."}}