{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004776728,0.0008859496,0.0004183883,0.0007359062,0.0002343417,0.0008873985,0.0007548274,0.001026421,0.002445114],"category_scores_gemma":[0.0002788454,0.0005927583,0.0004819278,0.0003428124,0.0004532766,0.0005647523,0.0007839974,0.0006489126,0.0009594301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009184386,"about_ca_system_score_gemma":0.0003069897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006073073,"about_ca_topic_score_gemma":0.0009274817,"domain_scores_codex":[0.9993363,0.00007940822,0.00003118318,0.000194936,0.0002604088,0.00009768067],"domain_scores_gemma":[0.9996924,0.00009038264,0.00005810331,0.00006197648,0.00006695569,0.00003007371],"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":[0.00004980839,0.00002352928,0.0001436475,0.00005756962,0.00001092951,0.00009640693,0.00005649291,0.001909529,0.9843562,0.001567116,0.0004869462,0.01124187],"study_design_scores_gemma":[0.00001027329,0.00005303537,0.0005231119,0.000007058635,0.000007617879,0.0002001788,0.0000207041,0.04018593,0.953405,0.0004163512,0.005135619,0.00003513496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3842351,0.00142866,0.5961535,0.0004776289,0.0003384468,0.0002274908,0.001047004,0.004283737,0.01180838],"genre_scores_gemma":[0.55573,0.001043615,0.4333103,0.0002458468,0.00006614743,0.0003527282,0.0005584829,0.0001916938,0.008501164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002445114,"threshold_uncertainty_score":0.008179665,"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."}}