{"id":"W2333817338","doi":"10.1021/acssensors.5b00280","title":"96-Well Plasmonic Sensing with Nanohole Arrays","year":2016,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Canada Foundation for Innovation","keywords":"Plasmon; Biomolecule; Materials science; Wafer; Biosensor; Microtiter plate; Nanoparticle; Nanotechnology; Plasmonic nanoparticles; Analyte; Lithography; Plate reader; Optoelectronics; Chemistry; Optics; Fluorescence; Physics; Chromatography","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":[0.001888446,0.002473411,0.001586912,0.00167042,0.0007052324,0.001228712,0.003885842,0.00182363,0.01011401],"category_scores_gemma":[0.001361945,0.001887788,0.0008239764,0.001130658,0.000754949,0.001745252,0.001128924,0.001729808,0.007505756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000849813,"about_ca_system_score_gemma":0.0005280214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005873527,"about_ca_topic_score_gemma":0.001743561,"domain_scores_codex":[0.9962288,0.0004764995,0.0003945842,0.001440704,0.001218474,0.0002408726],"domain_scores_gemma":[0.9986172,0.0005104079,0.0001560375,0.000279193,0.0003536005,0.00008363881],"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":[0.0001045336,0.00009183428,0.0001107416,0.0002588652,0.00002061798,0.0000702275,0.0000642006,0.0004418075,0.9860598,0.0007810534,0.001579936,0.01041641],"study_design_scores_gemma":[0.00003506427,0.0001360998,0.0003787823,0.00001070406,0.00002120647,0.0001671923,0.00002202304,0.01026319,0.97878,0.0003304193,0.009802236,0.00005287962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05223646,0.001674227,0.919489,0.0004962709,0.0006052951,0.001399575,0.002338253,0.01535425,0.006406724],"genre_scores_gemma":[0.09233723,0.001808828,0.8815377,0.0004554504,0.0001423231,0.00376276,0.002456365,0.0006463459,0.01685308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01011401,"threshold_uncertainty_score":0.03383476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116696950506327,"score_gpt":0.2084252041955945,"score_spread":0.1972582346905312,"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."}}