{"id":"W2412589450","doi":"10.1007/978-1-4939-3073-9_9","title":"Monitoring Protein Kinase Expression and Phosphorylation in Cell Lysates with Antibody Microarrays","year":2015,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Kinexus Bioinformatics Corporation (Canada)","funders":"","keywords":"Kinome; Phosphorylation; Protein microarray; Antibody microarray; DNA microarray; Kinase; Protein phosphorylation; Microarray; Biology; Antibody; Protein Array Analysis; Protein kinase A; Computational biology; Cell biology; Molecular biology; Biochemistry; Gene expression; Immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004808416,0.0007487005,0.0006363904,0.000574469,0.0003874551,0.0007063081,0.0005814587,0.0005351964,0.001873583],"category_scores_gemma":[0.0003536418,0.000475429,0.0004074367,0.0008507707,0.0003269946,0.0005950834,0.0003156917,0.001468218,0.00131519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003681877,"about_ca_system_score_gemma":0.0002302989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004040512,"about_ca_topic_score_gemma":0.001526828,"domain_scores_codex":[0.9994885,0.00007395928,0.00003617187,0.000177482,0.0001476135,0.00007619894],"domain_scores_gemma":[0.999756,0.0001092962,0.00003353493,0.00003176349,0.00004360185,0.00002581684],"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":[0.00005385664,0.00002317861,0.0001311947,0.0000330077,0.000008286355,0.000007623141,0.00001164064,0.00004784128,0.9984456,0.00008253731,0.00007981258,0.001075495],"study_design_scores_gemma":[0.000008196704,0.00006776639,0.002164183,0.000002725292,0.00001967896,0.00003825341,0.00001573448,0.001687009,0.994414,0.0001116609,0.001464967,0.000005826296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6966845,0.003852299,0.2806689,0.0007904498,0.0004626841,0.0003257144,0.005003235,0.002099911,0.0101122],"genre_scores_gemma":[0.654915,0.007496627,0.3030018,0.0008779711,0.0003054394,0.001706445,0.008851902,0.0003148584,0.02252993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001873583,"threshold_uncertainty_score":0.006267786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845673956614964,"score_gpt":0.377134231106271,"score_spread":0.3586774915401214,"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."}}