{"id":"W3139100054","doi":"10.1021/acsomega.0c04954","title":"Polymer Brush–GaAs Interface and Its Use as an Antibody-Compatible Platform for Biosensing","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biosensor; Brush; Interface (matter); Polymer; Polymer brush; Nanotechnology; Materials science; Computer science; Composite material; Wetting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000243672,0.0003684337,0.0001302021,0.0002571457,0.000147089,0.0003675689,0.0002400782,0.0004338781,0.0004222146],"category_scores_gemma":[0.0001818453,0.0002492073,0.0001797253,0.000170354,0.0002157241,0.0003025722,0.0002496273,0.0003784228,0.0002164313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788234,"about_ca_system_score_gemma":0.0001297903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002237771,"about_ca_topic_score_gemma":0.0003856477,"domain_scores_codex":[0.9998329,0.0000302366,0.000008632237,0.00004799208,0.00005854089,0.00002182345],"domain_scores_gemma":[0.9999419,0.00001705616,0.00001293622,0.000009767013,0.00001059279,0.000007673238],"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":[0.00001037626,0.000004017088,0.00003576323,0.00002210867,0.000002257197,0.00002080159,0.0000108643,0.0000499134,0.9985668,0.0001250015,0.000005869556,0.001146279],"study_design_scores_gemma":[0.000002933107,0.00007935005,0.0003539927,0.000002335929,0.000005717002,0.00007018195,0.000007730546,0.0006578153,0.9977837,0.00004435359,0.0009887393,0.00000307164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448882,0.005449153,0.04426828,0.0001344841,0.00005985991,0.0001019093,0.00008743554,0.0002216464,0.00478912],"genre_scores_gemma":[0.9717642,0.002408818,0.02333274,0.00004751145,0.00001690157,0.00005657837,0.00006589905,0.00001937802,0.002287943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004338781,"threshold_uncertainty_score":0.001412451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734399454112031,"score_gpt":0.2643569725607566,"score_spread":0.2470129780196363,"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."}}