{"id":"W2020482051","doi":"10.1016/s0039-9140(02)00425-3","title":"Miniature flow injection analyser for laboratory, shipboard and in situ monitoring of nitrate in estuarine and coastal waters","year":2002,"lang":"en","type":"article","venue":"Talanta","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; National Oceanic and Atmospheric Administration; Natural Environment Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Chemistry; Analyser; Nitrate; In situ; Estuary; Environmental chemistry; Oceanography; Chromatography; Geology","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":[0.00198337,0.001343073,0.001192215,0.001038935,0.0008423157,0.0005287101,0.001713081,0.001338516,0.003996477],"category_scores_gemma":[0.001469812,0.0009199445,0.0005089061,0.0006441726,0.0007462683,0.001131119,0.0008180984,0.001256111,0.00170884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005310734,"about_ca_system_score_gemma":0.000925813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001720608,"about_ca_topic_score_gemma":0.003989657,"domain_scores_codex":[0.9987065,0.0002268349,0.00007761483,0.0005017141,0.0004114455,0.00007595003],"domain_scores_gemma":[0.9984146,0.0008117331,0.0001401733,0.0001470004,0.0003591138,0.0001273683],"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":[0.0006601955,0.0003103009,0.004506498,0.0001299561,0.00004788989,0.00006438208,0.0001118308,0.0002565172,0.959618,0.0002473269,0.001947724,0.03209937],"study_design_scores_gemma":[0.0004131343,0.002297136,0.04809214,0.00004844831,0.0002974015,0.001172633,0.0001139244,0.02700622,0.8996553,0.0005705874,0.0201675,0.000165659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3678882,0.002454629,0.6007712,0.0006384806,0.000690623,0.002103512,0.00669359,0.01294003,0.005819809],"genre_scores_gemma":[0.383977,0.001744554,0.5845678,0.001754346,0.0003322163,0.004077778,0.004580202,0.0007381737,0.01822781],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003996477,"threshold_uncertainty_score":0.0133695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227398369070008,"score_gpt":0.2021593923636922,"score_spread":0.1898854086729922,"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."}}