{"id":"W2015011264","doi":"10.1016/s0039-9140(02)00258-8","title":"Arsenic speciation analysis","year":2002,"lang":"en","type":"article","venue":"Talanta","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":375,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Water Network; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Arsenic; Chemistry; Genetic algorithm; Environmental chemistry; Inductively coupled plasma mass spectrometry; Mass spectrometry; Biogeochemical cycle; Arsenobetaine; Arsenate; Chromatography; Ecology; Organic chemistry","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":[0.0004439633,0.001151999,0.0007463358,0.002653582,0.001910263,0.0007777142,0.0007214944,0.0007484297,0.017859],"category_scores_gemma":[0.0004814558,0.0004384257,0.0007455205,0.001641127,0.0003077927,0.0005097727,0.0005986337,0.0008229755,0.005968103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578728,"about_ca_system_score_gemma":0.0008975981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004037395,"about_ca_topic_score_gemma":0.006916682,"domain_scores_codex":[0.9991302,0.00005789804,0.00005126969,0.0003011836,0.0003367205,0.0001228527],"domain_scores_gemma":[0.9997087,0.00001825568,0.00001750321,0.00002304438,0.0002171053,0.0000152565],"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":[0.00024494,0.00008082559,0.001981005,0.0001409271,0.00009673059,0.0001968537,0.0001927383,0.0003329215,0.9708476,0.0009810679,0.002043591,0.02286077],"study_design_scores_gemma":[0.000008190123,0.0001262615,0.003441013,0.00001477523,0.00007719372,0.0002555012,0.0001238968,0.001438131,0.9558298,0.000342997,0.03832378,0.00001853977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6307807,0.003242671,0.1474896,0.001025115,0.0007700466,0.001141077,0.02065258,0.007325303,0.1875729],"genre_scores_gemma":[0.7114134,0.003510675,0.07210591,0.0009997393,0.0001371274,0.0007403,0.02018905,0.001108331,0.1897955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.017859,"threshold_uncertainty_score":0.05974436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122278027708483,"score_gpt":0.2032513616818548,"score_spread":0.19202858140477,"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."}}