{"id":"W2075582876","doi":"10.1038/srep00239","title":"Short Co-occurring Polypeptide Regions Can Predict Global Protein Interaction Maps","year":2012,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Proteome; Computer science; Organism; Genomics; Genome; Model organism; Protein–protein interaction; Biology; Bioinformatics; Genetics; Gene","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":[0.0002470538,0.0006515534,0.0003969141,0.001291241,0.0002257665,0.0003631901,0.0002421472,0.0003258577,0.001151396],"category_scores_gemma":[0.00111601,0.0003238811,0.0003627372,0.0009529482,0.0001873616,0.0006167746,0.0004568262,0.0004293701,0.0006356791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679648,"about_ca_system_score_gemma":0.0001736474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008157634,"about_ca_topic_score_gemma":0.001031432,"domain_scores_codex":[0.9998881,0.00001649816,0.000006952859,0.00004721244,0.00003179081,0.00000944746],"domain_scores_gemma":[0.9993999,0.0002821369,0.000124123,0.00006369745,0.00007521767,0.00005491572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001452586,0.0001954206,0.15299,0.0006064025,0.0003918568,0.001103434,0.0002153135,0.1755629,0.5320663,0.002783788,0.002403904,0.130228],"study_design_scores_gemma":[0.0000514249,0.0003221177,0.1690836,0.0000307959,0.0001996181,0.0008196678,0.0001372898,0.6872115,0.1252827,0.01080394,0.00599533,0.00006212411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8034222,0.0009162125,0.1888937,0.00005385429,0.00001140678,0.00003753667,0.002068122,0.002598104,0.001998883],"genre_scores_gemma":[0.926319,0.0004223226,0.06862295,0.00001428285,0.000008200326,0.00004998173,0.003917003,0.0001664109,0.0004798896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001291241,"threshold_uncertainty_score":0.003851771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112425077567888,"score_gpt":0.2573933733317745,"score_spread":0.2462691225560956,"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."}}