{"id":"W20779778","doi":"10.1007/978-1-60327-058-8_21","title":"High Throughput Screening of Purified Proteins for Enzymatic Activity","year":2008,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteome; Enzyme; Biochemistry; Proteases; Genome; Computational biology; Biology; Function (biology); Proteomics; ENCODE; Gene; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000936166,0.0009724091,0.0009363555,0.0009163591,0.0003111644,0.000757674,0.000540801,0.0005546176,0.001478994],"category_scores_gemma":[0.0007114666,0.0003131223,0.0005763384,0.0009574039,0.0002788095,0.0003563566,0.0006198909,0.0007413716,0.001458314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205503,"about_ca_system_score_gemma":0.0002746759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370335,"about_ca_topic_score_gemma":0.0006456025,"domain_scores_codex":[0.9990415,0.0002985819,0.00007060616,0.0001474333,0.0003461524,0.00009561782],"domain_scores_gemma":[0.9995246,0.0002129098,0.00004704591,0.00007498974,0.00009518537,0.00004524313],"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":[0.00008245557,0.0001130383,0.0003653539,0.0001111279,0.00003464271,0.0001029116,0.0000163259,0.000211583,0.994866,0.0001255257,0.0003826377,0.003588425],"study_design_scores_gemma":[0.00002069959,0.0003062124,0.002083624,0.000008784187,0.00004950895,0.0003813209,0.00002067106,0.00190216,0.9906719,0.0001321235,0.004410537,0.00001257371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8167712,0.009350967,0.1547505,0.0009144524,0.0002070272,0.0009742751,0.008172924,0.001818893,0.007039711],"genre_scores_gemma":[0.8457853,0.009273267,0.09739999,0.0005575723,0.0001071254,0.0008448625,0.02505586,0.0003073723,0.02066865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001478994,"threshold_uncertainty_score":0.004951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04919357052738355,"score_gpt":0.4133772107822878,"score_spread":0.3641836402549043,"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."}}