{"id":"W7019747575","doi":"","title":"HPLC-ICP-MS for a comparative study on the extraction approaches for arsenic speciation in terrestrial plant, Ceratophyllum demersum","year":2009,"lang":"en","type":"article","venue":"QST-Repository (National Institutes for Quantum and Radiological Science and Technology)","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Arsenic; Water extraction; Methanol; Genetic algorithm; Ceratophyllum demersum","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004143811,0.0005139773,0.0002482528,0.0007089215,0.0004802675,0.0002611039,0.0002821833,0.0004319678,0.003031691],"category_scores_gemma":[0.0003016551,0.0001837119,0.0003023132,0.0006125269,0.000151866,0.0002070452,0.0002046126,0.0003855696,0.001027263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006454862,"about_ca_system_score_gemma":0.0007865907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005704577,"about_ca_topic_score_gemma":0.02053265,"domain_scores_codex":[0.999726,0.00002975273,0.00002006684,0.00008550438,0.0001182408,0.00002049614],"domain_scores_gemma":[0.9998838,0.00003095587,0.00001376975,0.000009496687,0.00005599069,0.000005960107],"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":[0.00003717537,0.00001897955,0.0007791359,0.0002051024,0.00002000042,0.00008142971,0.00002852357,0.00009387897,0.9866745,0.00009061142,0.000296686,0.01167393],"study_design_scores_gemma":[0.00001228555,0.0001890269,0.01526474,0.00002753975,0.00004956697,0.0007609539,0.0000646918,0.001619757,0.9571085,0.0001630635,0.02472121,0.00001864576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6604171,0.01718679,0.2656676,0.001294867,0.0003131027,0.001081869,0.01297512,0.004025941,0.03703756],"genre_scores_gemma":[0.6959901,0.008224838,0.2611196,0.001065032,0.00005969872,0.000533268,0.005558026,0.0003857957,0.02706354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005704577,"threshold_uncertainty_score":0.01134276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07404394255237932,"score_gpt":0.2964141026295123,"score_spread":0.222370160077133,"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."}}