{"id":"W1991953772","doi":"10.1002/pmic.201100523","title":"Affinity‐purification coupled to mass spectrometry: Basic principles and strategies","year":2012,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":370,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Mass spectrometry; Tandem affinity purification; Proteomics; Computational biology; Protein–protein interaction; Function (biology); Chemistry; Protein function; Protein purification; Identification (biology); Protein ligand; Affinity chromatography; Biochemical engineering; Chromatography; Biochemistry; Biology; Enzyme; Cell biology; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002542842,0.0005218139,0.0009699119,0.0001625804,0.000164712,0.0001785793,0.0004907066,0.0004677884,0.0001200467],"category_scores_gemma":[0.00005454559,0.0004931754,0.000170884,0.000343219,0.00007276004,0.0001635414,0.000189135,0.0006410569,0.00007615666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483061,"about_ca_system_score_gemma":0.0002139968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009209897,"about_ca_topic_score_gemma":0.00000335391,"domain_scores_codex":[0.9980915,0.00002356944,0.0006321234,0.0006286241,0.0001758144,0.0004483702],"domain_scores_gemma":[0.9982387,0.00008691378,0.000521587,0.0008635258,0.00006795924,0.0002213026],"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":[0.00004283814,0.0003552498,0.00003373537,0.05597541,0.0003473922,0.000005665752,0.0002111355,0.00001895338,0.04183965,0.1932182,0.00007528204,0.7078765],"study_design_scores_gemma":[0.00009053631,0.00001932085,0.000001247038,0.001498954,0.0002872606,0.00002404226,0.00003225822,0.0000388127,0.005551185,0.004092057,0.9876837,0.0006806115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00012438,0.8764187,0.1164771,0.00006051797,0.00003349736,0.002280379,0.0001637532,0.0003629468,0.004078791],"genre_scores_gemma":[0.00002892109,0.6551986,0.3412482,0.000009028501,0.0002357261,0.00254139,0.0001468196,0.0000870283,0.0005043607],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9876084,"threshold_uncertainty_score":0.999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06479757224059426,"score_gpt":0.331549183403524,"score_spread":0.2667516111629297,"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."}}