{"id":"W1818178467","doi":"10.1039/c5an00996k","title":"Naked-eye nanobiosensor for therapeutic drug monitoring of methotrexate","year":2015,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"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; Institut Mérieux; Canada Foundation for Innovation","keywords":"Methotrexate; Therapeutic drug monitoring; Naked eye; Drug; Pharmacology; Medicine; Nanotechnology; Chemistry; Materials science; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005507008,0.0001262258,0.0001966707,0.00004368248,0.00006843595,0.00001231558,0.0002179475,0.00006326396,3.728063e-7],"category_scores_gemma":[0.00005472931,0.00007870487,0.0001932934,0.0001614728,0.0001036054,0.000002620576,0.00005191315,0.00004862054,0.000001017871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001089736,"about_ca_system_score_gemma":0.00002673635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002250903,"about_ca_topic_score_gemma":0.00001106357,"domain_scores_codex":[0.9992024,0.00009031544,0.0002092312,0.0002095719,0.0001205085,0.0001679511],"domain_scores_gemma":[0.9991121,0.00002528868,0.000150229,0.0004417912,0.0002226636,0.00004789338],"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":[0.0001088545,0.00003151972,0.002551645,0.000009129831,0.0002583758,4.56551e-7,0.00006690029,0.00004503695,0.9925931,0.00006262415,0.0006529946,0.00361939],"study_design_scores_gemma":[0.0002052526,0.0001000818,0.0002745817,0.000009430479,0.0001682727,0.000002133126,0.0003838851,0.0001478995,0.9867415,0.0004265889,0.0114238,0.0001165684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868395,0.001373241,0.01048655,0.0006195808,0.0000972413,0.0002061612,0.00002129502,0.00003192227,0.0003245341],"genre_scores_gemma":[0.9889933,0.0001139381,0.009159833,0.0000776952,0.0002164491,0.000009539652,0.00002409076,0.00001638818,0.001388787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0107708,"threshold_uncertainty_score":0.3209491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509918214998959,"score_gpt":0.3325087026962419,"score_spread":0.2974095205462523,"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."}}