{"id":"W2036912751","doi":"10.1007/s00216-004-2677-z","title":"Measurement of total selenium and selenium(IV) in seawater by stripping chronopotentiometry","year":2004,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Selenium; Seawater; Mercury (programming language); Electrolysis; Chemistry; Stripping (fiber); Detection limit; Electrochemistry; Environmental chemistry; Analytical Chemistry (journal); Current (fluid); Electrode; Chromatography; Materials science; Electrolyte; Oceanography; Thermodynamics; Physics","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":[0.0003603115,0.0004603553,0.0003463271,0.0004974839,0.0004242563,0.0004523939,0.0005753825,0.0004965464,0.0009777602],"category_scores_gemma":[0.0006977774,0.0002466753,0.0002332486,0.0004999056,0.0003254293,0.0005519926,0.0003587397,0.0006409413,0.0003898301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002982256,"about_ca_system_score_gemma":0.0003715163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001910616,"about_ca_topic_score_gemma":0.00281958,"domain_scores_codex":[0.9997266,0.00002805213,0.0000238357,0.00007490704,0.0001216457,0.00002495082],"domain_scores_gemma":[0.9997421,0.00005788269,0.00002505079,0.00003706079,0.0001188736,0.00001910054],"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":[0.0001197932,0.00000763298,0.001221742,0.00004396768,0.00001143272,0.0000279952,0.00005522625,0.00006887334,0.9915059,0.0001325342,0.00009924924,0.006705585],"study_design_scores_gemma":[0.00001016144,0.00009229686,0.002770163,0.000004324763,0.00001406378,0.0001205599,0.0000520426,0.0008316059,0.9930162,0.0001300504,0.002951471,0.000006976058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348897,0.002707999,0.0523238,0.0002141929,0.000181601,0.00008920395,0.001148263,0.0007367978,0.007708497],"genre_scores_gemma":[0.9278846,0.002641194,0.05625129,0.0001582452,0.00003255572,0.0001249893,0.001162988,0.0001117217,0.01163247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001910616,"threshold_uncertainty_score":0.003799021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008704308613663064,"score_gpt":0.2215195252189902,"score_spread":0.2128152166053272,"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."}}