{"id":"W2075122404","doi":"10.1006/meth.2001.1184","title":"Mass Spectrometry for the Study of Protein-Protein Interactions","year":2001,"lang":"en","type":"review","venue":"Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Epitope; Computational biology; Trypsin; Mass spectrometry; Bottom-up proteomics; Biochemistry; Tandem affinity purification; Proteome; Biology; Chemistry; Lysis; Shotgun proteomics; Protein–protein interaction; Protein sequencing; Tandem mass spectrometry; Peptide sequence; Antigen; Protein mass spectrometry; Chromatography; Enzyme; Affinity chromatography; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001043759,0.0004328504,0.001381292,0.0002486644,0.0001975432,0.00005173413,0.0009845096,0.0002265591,0.004394878],"category_scores_gemma":[0.0002921034,0.0002897742,0.0007026864,0.001134852,0.00005385592,0.00003641517,0.0001457742,0.0007814824,0.000007038052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843495,"about_ca_system_score_gemma":0.00008224096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006110468,"about_ca_topic_score_gemma":0.000005534782,"domain_scores_codex":[0.9977804,0.0002377087,0.0008984279,0.0005440996,0.000218547,0.000320784],"domain_scores_gemma":[0.9964138,0.001084263,0.0008073309,0.001537815,0.00009502398,0.00006171067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005264594,0.000425498,7.202436e-7,0.005319131,0.0003714734,0.000001015658,0.00001796558,1.274268e-7,0.002278999,0.004345846,0.0001373415,0.9870966],"study_design_scores_gemma":[0.00013363,0.0001005811,1.858506e-7,0.001405061,0.0008719785,0.00001210881,0.0001331697,0.00001338241,0.003128962,0.005218132,0.9887053,0.0002774457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004082521,0.7336761,0.242001,0.00003972957,0.0000499728,0.003804062,0.00009093996,0.0001508501,0.02018325],"genre_scores_gemma":[0.00002438898,0.5869126,0.3890689,0.000003023549,0.0003248287,0.01223318,0.00003347455,0.00009857144,0.01130101],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.988568,"threshold_uncertainty_score":0.9999554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132287232807139,"score_gpt":0.4745659047312353,"score_spread":0.3613371814505214,"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."}}