{"id":"W1979546531","doi":"10.1038/nmeth.2131","title":"A high-throughput approach for measuring temporal changes in the interactome","year":2012,"lang":"en","type":"article","venue":"Nature Methods","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":356,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Interactome; Proteomics; Computational biology; Mass spectrometry; Throughput; Yeast; Computer science; Chemistry; Protein–protein interaction; Chromatography; Biology; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00226441,0.000125283,0.0001311359,0.00005672497,0.00005586755,0.00002514472,0.0003228012,0.0003233115,0.000006297239],"category_scores_gemma":[0.0003649604,0.00008125866,0.00006952887,0.0001511503,0.00003777635,0.000003722643,0.0001155054,0.0004284231,0.000001146399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001307051,"about_ca_system_score_gemma":0.00002299995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001261217,"about_ca_topic_score_gemma":0.00002116823,"domain_scores_codex":[0.998719,0.0004091962,0.0001087194,0.0002287339,0.0001637418,0.0003705531],"domain_scores_gemma":[0.9994611,0.00008516678,0.00003550794,0.0002994844,0.00006324723,0.0000555201],"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":[0.0001712196,0.0001735709,0.00347715,0.00008359599,0.00004321029,5.79312e-7,0.0004828675,0.00002409316,0.9660251,0.000388231,0.001565078,0.0275653],"study_design_scores_gemma":[0.0005258268,0.0002016056,0.003749298,0.000009825138,0.00001328179,0.00001926856,0.0002292078,0.0001834427,0.8339976,0.0001930023,0.1606717,0.0002058776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366967,0.02841397,0.2229771,0.002279508,0.001641941,0.001912157,0.0000699817,0.00003026879,0.005978295],"genre_scores_gemma":[0.7377403,0.00004533207,0.2604722,0.000411949,0.0008661066,0.0001266047,0.00007695315,0.00001572028,0.0002448103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1591067,"threshold_uncertainty_score":0.3313632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979920507647159,"score_gpt":0.4127512741434882,"score_spread":0.3529520690670166,"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."}}