{"id":"W2006933206","doi":"10.1038/nbt926","title":"The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data","year":2004,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":641,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Canada Research Chairs; University of New Brunswick; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Human proteome project; Interaction network; Computer science; Representation (politics); Protein–protein interaction; Proteome; Database; World Wide Web; Computational biology; Proteomics; Bioinformatics; Biology; Gene; Political science; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005010144,0.0001132096,0.0001150295,0.0000380535,0.0003184134,0.00003211073,0.0007899638,0.0006202793,0.000001206988],"category_scores_gemma":[0.00032574,0.0000718566,0.00006805774,0.000122925,0.0001787979,0.00001499894,0.0004134977,0.0008040689,0.000001078762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003367988,"about_ca_system_score_gemma":0.00005181837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006298921,"about_ca_topic_score_gemma":0.0003640642,"domain_scores_codex":[0.9992472,0.00005233164,0.0002764246,0.0001583603,0.00009446729,0.0001712519],"domain_scores_gemma":[0.9982794,0.00006085642,0.000256523,0.001269518,0.0001173051,0.00001642427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001441539,0.0001062533,0.00001503239,0.00007989544,0.0003966881,7.528623e-7,0.0001947385,0.001084829,0.7207758,0.02374909,0.005807813,0.2463475],"study_design_scores_gemma":[0.0007670138,0.0004621985,0.00002718515,0.00003119338,0.00003641465,0.00002804133,0.001326492,0.001561529,0.784793,0.00615468,0.2046927,0.0001196228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4851131,0.004988521,0.4865405,0.01852772,0.001421518,0.002519544,0.0002758975,0.00007323232,0.0005399644],"genre_scores_gemma":[0.9966895,0.0003632554,0.002203145,0.0002025694,0.00007824659,0.00004833769,0.0003818182,0.00001254388,0.00002059534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5115764,"threshold_uncertainty_score":0.4784162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644121626248273,"score_gpt":0.3135688808018951,"score_spread":0.2971276645394124,"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."}}