{"id":"W2770817908","doi":"10.1021/acssensors.7b00584","title":"Tracking Silent Hypersensitivity Reactions to Asparaginase during Leukemia Therapy Using Single-Chip Indirect Plasmonic and Fluorescence Immunosensing","year":2017,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre in Green Chemistry and Catalysis; Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; Regroupement Québécois sur les Matériaux de Pointe; Université Laval; PROTEO","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Medac","keywords":"Antigenicity; Asparaginase; Immunoassay; Antibody; Chemistry; Leukemia; Medicine; Lymphoblastic Leukemia; Immunology","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":[0.0003624824,0.0003952203,0.0003645062,0.0002356561,0.0001102463,0.0003510437,0.0004185993,0.0005294118,0.0003857207],"category_scores_gemma":[0.0005556247,0.0002042518,0.0002127934,0.0001323049,0.0002156675,0.0002280398,0.0003015789,0.0004322778,0.0001710965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902986,"about_ca_system_score_gemma":0.000189434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003461081,"about_ca_topic_score_gemma":0.000706944,"domain_scores_codex":[0.9995597,0.000067881,0.0000227364,0.0001223469,0.0001818309,0.00004540608],"domain_scores_gemma":[0.9997185,0.00009832996,0.00007610019,0.00002622186,0.00005464167,0.00002622446],"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":[0.000112929,0.00003568653,0.001114876,0.00004642693,0.00001065951,0.00003022669,0.00002699954,0.0002902207,0.9915586,0.00003464377,0.00008076171,0.006658046],"study_design_scores_gemma":[0.000008017321,0.0002043443,0.002095017,0.000002255862,0.00001454034,0.000121382,0.00001820617,0.005166367,0.9919668,0.0000216105,0.0003737949,0.000007553385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94291,0.001506797,0.05362736,0.000135144,0.00007465335,0.00006076387,0.0001952579,0.000331641,0.001158417],"genre_scores_gemma":[0.9503081,0.0004387839,0.04732411,0.000133559,0.00002198024,0.00008595983,0.0001302995,0.00002333013,0.001533889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005294118,"threshold_uncertainty_score":0.002106309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05284686669641801,"score_gpt":0.270916120063444,"score_spread":0.218069253367026,"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."}}