{"id":"W1993089744","doi":"10.1007/s00216-013-6853-x","title":"REMUS100 AUV with an integrated microfluidic system for explosives detection","year":2013,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Naval Research; McMaster University","keywords":"Seawater; Explosive material; Environmental science; Microfluidics; Contamination; Volumetric flow rate; Chemistry; Chromatography; Nanotechnology; Materials science; Geology; Oceanography; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004219893,0.0006257718,0.0005082398,0.0004170823,0.0004153051,0.0005014806,0.001277232,0.0009935735,0.00177783],"category_scores_gemma":[0.0004951634,0.0004136113,0.0003150982,0.0002228432,0.0002611933,0.0004914145,0.0008558166,0.0004506256,0.001172229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188233,"about_ca_system_score_gemma":0.0008608552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172558,"about_ca_topic_score_gemma":0.002002371,"domain_scores_codex":[0.9991949,0.00004870503,0.00003012633,0.0002110439,0.0004416771,0.00007356409],"domain_scores_gemma":[0.9998258,0.0000293371,0.0000270274,0.00003063292,0.00006729644,0.00001989232],"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":[0.0001225418,0.00005066886,0.0004998067,0.0001257882,0.0000217092,0.00009081555,0.00005771244,0.000568671,0.977214,0.00081577,0.001922597,0.01850995],"study_design_scores_gemma":[0.00002471033,0.0004096113,0.00175513,0.00001144504,0.00002726195,0.0003823361,0.00001914027,0.01457997,0.9593976,0.0002043247,0.02314828,0.00004025737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6633561,0.005238318,0.2865597,0.001145727,0.001181767,0.0009669153,0.002345851,0.01426157,0.02494401],"genre_scores_gemma":[0.6906489,0.0008724493,0.2779135,0.0008504066,0.0001523319,0.0007373078,0.0013828,0.0003224612,0.02711983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00177783,"threshold_uncertainty_score":0.005947411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185993165792859,"score_gpt":0.2354856173239139,"score_spread":0.2236256856659853,"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."}}