{"id":"W2416827111","doi":"10.1039/c6nr01257d","title":"3D multiplexed immunoplasmonics microscopy","year":2016,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Photobleaching; Microscopy; Materials science; Immunofluorescence; Confocal microscopy; Nanorod; Fluorescence microscope; Fluorescence; Chemistry; Nanotechnology; Optics; Antibody; Biology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008400163,0.0001324609,0.000120101,0.00003074358,0.00007194261,0.00001175136,0.0001424659,0.0001623103,0.000006471056],"category_scores_gemma":[0.00006943826,0.0000852185,0.00009708334,0.00007107581,0.0001121247,0.000002946734,0.00008140851,0.00003918178,0.00002417696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001626022,"about_ca_system_score_gemma":0.00002494886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004898724,"about_ca_topic_score_gemma":0.00001658915,"domain_scores_codex":[0.9991992,0.0000283735,0.0001556233,0.0003042674,0.00008793791,0.0002245767],"domain_scores_gemma":[0.9994159,0.00001161767,0.0000614344,0.0003907729,0.00006982548,0.00005048893],"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":[0.0000481579,0.00003275984,0.001195339,0.000001901514,0.00002085578,0.000001294601,0.000002610985,1.482266e-7,0.9774203,0.000006493687,0.001789616,0.01948053],"study_design_scores_gemma":[0.000321354,0.0001082075,0.0004179976,0.00001598926,0.00001036211,0.000007766342,0.000003802766,0.000003988569,0.8921686,0.0000437723,0.1067493,0.0001488508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896902,0.0003880227,0.008346956,0.0003632239,0.000146541,0.0001186796,0.00004296155,0.00009261973,0.0008107504],"genre_scores_gemma":[0.9640743,0.0003784336,0.0308467,0.000208529,0.00009077306,0.000006661971,0.00002627075,0.00001929347,0.004349016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1049597,"threshold_uncertainty_score":0.347511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006842991977093839,"score_gpt":0.2631203870127261,"score_spread":0.2562773950356322,"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."}}