{"id":"W2081328655","doi":"10.1007/s00216-001-1113-x","title":"Selenium speciation by HPLC with tandem mass spectrometric detection","year":2001,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Genetic algorithm; Selenium; Chemistry; Tandem; Chromatography; High-performance liquid chromatography; Tandem mass spectrometry; Environmental chemistry; Analytical Chemistry (journal); Mass spectrometry; Materials science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007858569,0.001502901,0.001197387,0.002744193,0.001395943,0.0008388366,0.001139767,0.001120896,0.006067038],"category_scores_gemma":[0.001427462,0.000756413,0.000512647,0.001391144,0.0005979967,0.0008809977,0.0009528596,0.001059503,0.004745738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005935921,"about_ca_system_score_gemma":0.00117599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001359099,"about_ca_topic_score_gemma":0.002999398,"domain_scores_codex":[0.999046,0.0001519493,0.00007997574,0.0002691521,0.000350079,0.0001027621],"domain_scores_gemma":[0.9992486,0.000126548,0.00005970849,0.00007261378,0.0004565972,0.00003597448],"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":[0.0003939509,0.0003003269,0.002419484,0.0004009206,0.0001177198,0.0002337006,0.0001654798,0.0004989466,0.8983263,0.001166085,0.003107684,0.09286945],"study_design_scores_gemma":[0.00004885978,0.0004642708,0.001758776,0.00004139666,0.00008801532,0.001057864,0.00009367314,0.003203235,0.9772056,0.0009135664,0.0150775,0.00004734076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.317003,0.008650117,0.5947424,0.001880327,0.001398491,0.002035183,0.00279285,0.01420447,0.05729318],"genre_scores_gemma":[0.5578302,0.009754325,0.3548226,0.00314237,0.0003495934,0.001392071,0.003223823,0.0009875251,0.06849748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006067038,"threshold_uncertainty_score":0.02029628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009709678990707633,"score_gpt":0.2230459344316736,"score_spread":0.213336255440966,"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."}}