{"id":"W1966511895","doi":"10.1021/cm030028k","title":"Optimization of Sol−Gel Formulations and Surface Treatments for the Development of Pin-Printed Protein Microarrays","year":2003,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Tetraethyl orthosilicate; Silane; Protein microarray; Materials science; Adhesion; Sol-gel; Substrate (aquarium); Biosensor; Sodium silicate; Covalent bond; DNA microarray; Surface modification; Chromatography; Chemical engineering; Nanotechnology; Chemistry; Organic chemistry; Composite material; Biochemistry","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":[0.0006628737,0.001038616,0.0004684419,0.0003905869,0.0002231019,0.0006844104,0.0004032691,0.0004065672,0.000859246],"category_scores_gemma":[0.0007445978,0.0004417677,0.0003446407,0.0002895002,0.000300476,0.0005604666,0.0002435773,0.0006227054,0.0004710713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241302,"about_ca_system_score_gemma":0.0002275101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001906064,"about_ca_topic_score_gemma":0.0006555872,"domain_scores_codex":[0.9995492,0.00008852693,0.00005067835,0.00008316772,0.0001849655,0.00004347654],"domain_scores_gemma":[0.9997144,0.0001273252,0.00006223121,0.00001770757,0.00005616205,0.00002213448],"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":[0.00001804491,0.00001807219,0.00002379329,0.0000789166,0.000004964098,0.00001987541,0.00001355098,0.0002486924,0.9980029,0.00005551676,0.0000186288,0.001496976],"study_design_scores_gemma":[0.000006417893,0.00008262958,0.0001132614,0.000002748578,0.000008394958,0.00002555664,0.000009610778,0.0005797711,0.9981843,0.00002567539,0.0009573916,0.000004191493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611256,0.006232024,0.1270245,0.000442848,0.0002637641,0.0008143216,0.0004107861,0.0005859463,0.003100161],"genre_scores_gemma":[0.7762533,0.008019779,0.2093551,0.0002217459,0.00008585818,0.0008303203,0.0007704415,0.0003043684,0.004159109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001038616,"threshold_uncertainty_score":0.003505647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536294459073963,"score_gpt":0.2710265834946353,"score_spread":0.2556636389038957,"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."}}