{"id":"W2128036243","doi":"10.1038/msb4100134","title":"Large‐scale mapping of human protein–protein interactions by mass spectrometry","year":2007,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1001,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; PROTO Manufacturing (Canada); University of Ottawa; MaRS","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Mass spectrometry; Computational biology; Scale (ratio); Proteomics; Biochemistry; Chromatography; Gene; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006336127,0.00021738,0.0003117326,0.00013412,0.00009913813,0.00001943035,0.0002763994,0.0003206336,0.00002011422],"category_scores_gemma":[0.00002136247,0.0002117092,0.0001465258,0.0001752823,0.00009805679,0.000004157105,0.0001250906,0.0001905189,0.00001330876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003162599,"about_ca_system_score_gemma":0.00002796266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005006327,"about_ca_topic_score_gemma":0.00002483841,"domain_scores_codex":[0.9983541,0.00009714365,0.0006214412,0.0003350211,0.00009651976,0.0004958077],"domain_scores_gemma":[0.9989936,0.000006801983,0.0003155283,0.0004855272,0.00009415167,0.0001043946],"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":[0.00002084269,0.00005346885,0.0003456671,0.00006393679,0.0001048737,0.000003536359,0.0000609726,0.00000556322,0.9961559,0.002422063,0.0005645961,0.0001986394],"study_design_scores_gemma":[0.0007549665,0.0005186362,0.0001058436,0.00008521549,0.00001735682,0.00003488923,0.0006298592,0.0001680958,0.951158,0.0008069727,0.04531753,0.0004026202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5286343,0.001072793,0.4664399,0.0000298152,0.0001761047,0.0003962277,0.00004772634,0.00001344657,0.003189673],"genre_scores_gemma":[0.9963035,0.000005592247,0.001871401,0.00007739838,0.0001852289,0.00004081614,0.0003560481,0.00002936967,0.001130673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4676692,"threshold_uncertainty_score":0.8633249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006306790476073409,"score_gpt":0.2410506937210171,"score_spread":0.2347439032449437,"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."}}