{"id":"W3106071946","doi":"10.3390/bios10110184","title":"Drug-Based Gold Nanoparticles Overgrowth for Enhanced SPR Biosensing of Doxycycline","year":2020,"lang":"en","type":"article","venue":"Biosensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Natural Sciences and Engineering Research Council of Canada; Higher Education Commision, Pakistan","keywords":"Doxycycline; Biosensor; Surface plasmon resonance; Analyte; Colloidal gold; Nanotechnology; Drug; Chemistry; Nanoparticle; Materials science; Combinatorial chemistry; Chromatography; Pharmacology; Antibiotics; Medicine; Biochemistry","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":[0.0002235909,0.0004256626,0.0002908277,0.0001817613,0.0001259434,0.0002149226,0.0003026749,0.0004236545,0.0004845594],"category_scores_gemma":[0.0002843693,0.0002233286,0.0001495872,0.0001018084,0.0002345172,0.000264901,0.0002726881,0.000423408,0.0002605836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671717,"about_ca_system_score_gemma":0.0001645367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009633174,"about_ca_topic_score_gemma":0.002254781,"domain_scores_codex":[0.9997707,0.00003596443,0.00001487233,0.00007677578,0.00007526403,0.00002633955],"domain_scores_gemma":[0.9998852,0.00004558272,0.00002190101,0.00001016237,0.00002113214,0.00001604194],"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":[0.00001015094,0.000006812735,0.0000157583,0.00001936639,8.694408e-7,0.00001217487,0.000008214703,0.00008179989,0.9990098,0.00003761483,0.00001456169,0.0007827872],"study_design_scores_gemma":[0.000003242102,0.00004043634,0.0001467708,0.000002327443,0.000001943399,0.00002479774,0.000004362538,0.002516314,0.9966138,0.00001017156,0.0006336744,0.000002248975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492337,0.004526094,0.04129603,0.0003340537,0.0001530597,0.0001278987,0.0001443039,0.000447944,0.003736856],"genre_scores_gemma":[0.9475617,0.001675464,0.04650836,0.0001070946,0.0000254356,0.00005249341,0.0001143859,0.00004924152,0.003905724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009633174,"threshold_uncertainty_score":0.003389537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482428914195886,"score_gpt":0.2660695088649147,"score_spread":0.2512452197229558,"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."}}