{"id":"W2795956524","doi":"10.1101/296079","title":"Development of a GFP Fluorescent Bacterial Biosensor for the Detection and Quantification of Silver and Copper Ions","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Leeds; Natural Sciences and Engineering Research Council of Canada; Mitacs; Wilfrid Laurier University; University of Guelph","keywords":"Biosensor; Silver nanoparticle; Nanotechnology; Copper; Chemistry; Environmental chemistry; Materials science; Nanoparticle; Organic chemistry","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":[0.0007969691,0.000614943,0.0006044771,0.0005119938,0.0002505016,0.0004738037,0.0009451705,0.001379916,0.0006411438],"category_scores_gemma":[0.0006733862,0.0003769982,0.0005611393,0.00037538,0.0003543107,0.0005864313,0.0005667871,0.001173255,0.0007392082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972554,"about_ca_system_score_gemma":0.0005713121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006675441,"about_ca_topic_score_gemma":0.0006528153,"domain_scores_codex":[0.999375,0.0001031513,0.00004592635,0.000135256,0.0002735506,0.00006718135],"domain_scores_gemma":[0.9995599,0.00008886539,0.00007156863,0.00003733045,0.000172761,0.00006941745],"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":[0.000007866292,0.00001954518,0.00004745185,0.00002346968,0.000001919171,0.0000156193,0.000006264722,0.00006023687,0.9984536,0.00009164369,0.00006081554,0.001211653],"study_design_scores_gemma":[0.000007335872,0.0001044632,0.0003044388,0.000006644293,0.000004657693,0.0001029585,0.00001309363,0.003210497,0.99435,0.00005898726,0.001827062,0.000009932423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4308718,0.002321326,0.5565609,0.001976556,0.0006887644,0.0005136007,0.001140186,0.002525118,0.003401802],"genre_scores_gemma":[0.4497321,0.001277135,0.5405916,0.0006261759,0.00005268318,0.0005707054,0.001252733,0.0001479891,0.005748791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001379916,"threshold_uncertainty_score":0.004333377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550659629804122,"score_gpt":0.2372653560184467,"score_spread":0.2117587597204055,"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."}}