{"id":"W2740611655","doi":"10.1158/1538-7445.am2017-216","title":"Abstract 216: Tracking expression, post-translational modifications and interactions of EGF signalling proteins in A431 cells with antibody microarrays","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Protein microarray; Antibody microarray; Phosphorylation; A431 cells; Biology; Antibody; Epidermal growth factor; DNA microarray; Kinase; Protein Array Analysis; Proteomics; Cell biology; Molecular biology; Protein phosphorylation; Biotin; Epidermal growth factor receptor; Lysis; Protein kinase A; Biochemistry; Cell; Cell cycle; Gene expression; Oncogene; Receptor; Gene; Immunology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001950322,0.00007695529,0.00008579239,0.0000747627,0.0003346469,0.00004871434,0.0001934506,0.00006277353,0.00001082562],"category_scores_gemma":[0.000035759,0.00006799286,0.00002289074,0.00006304889,0.0002609708,0.0000177598,0.00005680733,0.0002020181,6.322604e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001373677,"about_ca_system_score_gemma":0.0001226988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346533,"about_ca_topic_score_gemma":0.0003309126,"domain_scores_codex":[0.9992448,0.00002327978,0.0001557476,0.0002704604,0.0001341216,0.0001715753],"domain_scores_gemma":[0.9991558,0.00002573254,0.00009796098,0.0003497784,0.0003232984,0.00004740005],"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":[0.00006437297,0.00006218442,0.0007557319,0.00002578268,0.000007281633,0.000001050143,0.00007412797,0.0001826002,0.9970523,0.0001145019,0.00003971997,0.001620343],"study_design_scores_gemma":[0.0001944302,0.00004957202,0.01356716,0.000168641,0.000002533516,0.00000275276,0.00008672952,0.00005193821,0.984297,0.0002236299,0.001270749,0.00008488866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880828,0.0002010865,0.01014864,0.0006385655,0.00001259727,0.0004273974,0.00007763578,0.000007392908,0.0004038648],"genre_scores_gemma":[0.9902712,0.0002934395,0.009109971,0.000009996466,0.000061488,0.0001052947,0.0000493739,0.00001462492,0.00008465235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01281143,"threshold_uncertainty_score":0.2772668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05801667145791806,"score_gpt":0.4190404033792071,"score_spread":0.3610237319212891,"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."}}