{"id":"W2883171141","doi":"10.15252/msb.20188485","title":"Two protein/protein interaction assays in one go","year":2018,"lang":"en","type":"letter","venue":"Molecular Systems Biology","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Computational biology; Protein–protein interaction; Proteomics; Genetics; Library science; Computer science; Gene","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004246325,0.0005971442,0.0007448195,0.0002577559,0.00009421751,0.00004956451,0.0004758062,0.003021549,0.00002331144],"category_scores_gemma":[0.0001280956,0.0005432072,0.0002484149,0.0001846089,0.0003019485,0.000003358722,0.0003405949,0.001510909,0.0002184242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009705368,"about_ca_system_score_gemma":0.000102962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004553061,"about_ca_topic_score_gemma":0.00008767154,"domain_scores_codex":[0.9963172,0.0008698187,0.00070969,0.001166103,0.0001894995,0.0007476794],"domain_scores_gemma":[0.9984671,0.00001310546,0.0004208072,0.0008437557,0.0001940916,0.00006110884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006310715,0.00006312803,0.00007452425,0.0002700102,0.0005149076,0.0002182695,0.00002152189,0.000006078577,0.855094,0.0001704603,0.1432517,0.0002522081],"study_design_scores_gemma":[0.0009076415,0.0007273423,0.00001172233,0.0005379877,0.00005362322,0.00009248818,0.00003005822,0.00003086344,0.1167694,0.0001055437,0.8799762,0.0007571529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4414011,0.07106159,0.01562209,0.352889,0.01719093,0.01659632,0.0007093986,0.0005270602,0.08400252],"genre_scores_gemma":[0.865894,0.0003507981,0.001009537,0.09331377,0.01302908,0.001531239,0.004609792,0.0003915791,0.01987015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7383246,"threshold_uncertainty_score":0.9997019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508723622794823,"score_gpt":0.2589687558139714,"score_spread":0.2438815195860232,"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."}}