{"id":"W2105127696","doi":"10.1002/jbm.a.30967","title":"Material surfaces affect the protein expression patterns of human macrophages: A proteomics approach","year":2006,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Proteomics; Cell biology; Cytoskeleton; Vimentin; Protein expression; Quantitative proteomics; Biophysics; Proteome; Chemistry; Materials science; Biology; Biochemistry; Cell; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655426,0.0002047252,0.0001516961,0.0002300419,0.0001514231,0.0002022197,0.00009112047,0.0002634126,0.0004419113],"category_scores_gemma":[0.0001430595,0.0001165889,0.000148468,0.0001727042,0.0001382387,0.0001547944,0.0001214262,0.0001636069,0.0001964151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009835004,"about_ca_system_score_gemma":0.00008756034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002631462,"about_ca_topic_score_gemma":0.00041102,"domain_scores_codex":[0.9999034,0.00002202081,0.000007678879,0.00002635775,0.00002621396,0.00001429568],"domain_scores_gemma":[0.9999428,0.0000185122,0.00001097276,0.000005594801,0.00001646753,0.000005682115],"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":[0.00003422995,0.000006068561,0.0001609638,0.00001429158,0.00000144025,0.00001066455,0.000007821058,0.000006936789,0.9993052,0.000004367733,0.000003607631,0.0004443807],"study_design_scores_gemma":[0.000008257912,0.0003263793,0.01793307,0.000003818673,0.00002545086,0.0002631342,0.00006489072,0.00052417,0.9796368,0.00003579811,0.001172256,0.00000588707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933775,0.001831973,0.004041107,0.00004987104,0.00001665787,0.0000437409,0.0001988524,0.00001727685,0.0004230477],"genre_scores_gemma":[0.9824365,0.002289036,0.01304248,0.0001081942,0.00002114774,0.00009983548,0.000453149,0.0000138672,0.001535689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004419113,"threshold_uncertainty_score":0.001478314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05828539304870724,"score_gpt":0.3222159217651266,"score_spread":0.2639305287164194,"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."}}