{"id":"W1998734051","doi":"10.1117/1.jbo.17.7.077001","title":"Gold nanoisland structures integrated in a lab-on-a-chip for plasmonic detection of bovine growth hormone","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Materials science; Surface plasmon resonance; Bovine somatotropin; Plasmon; Optoelectronics; Immunoassay; Nanostructure; Microfluidics; Ultraviolet; Surface plasmon; Nanotechnology; Optics; Growth hormone; Chemistry; Nanoparticle; Hormone; Biology","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":[0.0001575505,0.000303326,0.0002419471,0.0001993767,0.000210759,0.0002922924,0.0006118772,0.0005741448,0.0005954882],"category_scores_gemma":[0.0002209095,0.0003785662,0.0002029924,0.0001242042,0.0002058119,0.0003632971,0.0002507764,0.0003727734,0.000402285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462181,"about_ca_system_score_gemma":0.0002269001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003216119,"about_ca_topic_score_gemma":0.001372183,"domain_scores_codex":[0.9998341,0.00001834335,0.00001006458,0.00005208454,0.00006310391,0.00002246488],"domain_scores_gemma":[0.9998061,0.00004425287,0.00004242174,0.00004024151,0.00003953474,0.00002741739],"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":[0.00001836073,0.0000169275,0.00006929364,0.00001784986,0.000003271073,0.00002543231,0.00001101067,0.0001911576,0.9978249,0.0001537064,0.00004817091,0.001620038],"study_design_scores_gemma":[0.000009523438,0.0001409924,0.0007854245,0.000002231976,0.00001022439,0.00009132239,0.00001175746,0.004862828,0.9926302,0.00006474171,0.001383403,0.000007345407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285774,0.001122752,0.06707229,0.0001891038,0.0001527283,0.00006106588,0.0001486278,0.0006668633,0.002009221],"genre_scores_gemma":[0.8701955,0.0005837253,0.1242909,0.0001455168,0.00003205736,0.00009956071,0.0002734237,0.0000478536,0.004331477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006118772,"threshold_uncertainty_score":0.002511978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008132459987651646,"score_gpt":0.2649977814277831,"score_spread":0.2568653214401315,"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."}}