{"id":"W2321023810","doi":"10.1021/cm2012389","title":"Materials Screening for Sol–Gel-Derived High-Density Multi-Kinase Microarrays","year":2011,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"DNA microarray; Materials science; Kinase; Nanotechnology; Chemistry; Biochemistry; Gene; Gene expression","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":[0.001568316,0.001054651,0.0007520316,0.0008307406,0.0003104639,0.0005744586,0.0006461454,0.0009773714,0.0012544],"category_scores_gemma":[0.001380375,0.0005765136,0.0006205353,0.0005533841,0.0002918243,0.0005131249,0.0003840967,0.0005398631,0.000837593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356551,"about_ca_system_score_gemma":0.0002455977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231348,"about_ca_topic_score_gemma":0.0004732741,"domain_scores_codex":[0.9988033,0.0003239154,0.0001200886,0.000128905,0.0005505554,0.00007317985],"domain_scores_gemma":[0.9991031,0.0004740893,0.0001396726,0.0000695479,0.0001650414,0.00004857967],"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":[0.00003002771,0.00003856134,0.0000759083,0.00006697957,0.000005757644,0.00003311002,0.000009411119,0.0001818252,0.9987717,0.00003571457,0.00002006224,0.0007309493],"study_design_scores_gemma":[0.000006327377,0.0001798458,0.0002912819,0.000003526522,0.00001169194,0.00004411515,0.000009894563,0.0007455896,0.9981918,0.00001668239,0.0004956569,0.00000369984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9097018,0.003711517,0.07982272,0.0005363579,0.0001177614,0.001450056,0.001047882,0.0006089058,0.003002959],"genre_scores_gemma":[0.7674115,0.002747016,0.2213504,0.0003144128,0.00004938109,0.001151928,0.002106418,0.0001604648,0.004708522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001568316,"threshold_uncertainty_score":0.008294165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543084949373301,"score_gpt":0.2721270059582296,"score_spread":0.2366961564644966,"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."}}