{"id":"W1990193891","doi":"10.1016/j.talanta.2007.01.068","title":"Extraction and speciation of arsenic in plants grown on arsenic contaminated soils","year":2007,"lang":"en","type":"article","venue":"Talanta","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Ministry of Environment","keywords":"Chemistry; Arsenic; Arsenate; Arsenite; Extraction (chemistry); Inductively coupled plasma mass spectrometry; Atomic absorption spectroscopy; High-performance liquid chromatography; Chromatography; Environmental chemistry; Genetic algorithm; Hydrochloric acid; Mass spectrometry; Inorganic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003883034,0.00008168326,0.0001037726,0.00008867459,0.00003222587,0.000005955204,0.00004740698,0.00006658791,0.000378518],"category_scores_gemma":[0.00003430752,0.00008183865,0.00001901889,0.0001241239,0.00005907727,0.0001596772,0.00002501321,0.00009036581,0.00008932277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277814,"about_ca_system_score_gemma":0.000005216343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000195121,"about_ca_topic_score_gemma":0.001724646,"domain_scores_codex":[0.999209,0.00003044444,0.0002434471,0.0001772307,0.0001917596,0.0001481577],"domain_scores_gemma":[0.9996253,0.00009910377,0.0001281086,0.00009824618,0.000004942228,0.00004430181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003212083,0.000366757,0.1835486,0.00001997672,0.00001480043,0.00006055333,0.003053129,0.0001332278,0.4945234,0.001681521,0.0006875992,0.3155892],"study_design_scores_gemma":[0.00068555,0.00007394839,0.9558583,0.00002837528,0.000004884402,0.00002045783,0.0003875963,0.0007394581,0.04102541,0.000195703,0.0008819592,0.00009833911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785295,0.00001099495,0.0002072701,0.00005737767,0.00008898852,0.0001620195,0.000004774555,0.00001780843,0.02092132],"genre_scores_gemma":[0.9989755,0.00004646516,0.00003440781,0.00006351979,0.00001873315,0.000002300846,0.00002347731,0.000006011269,0.0008296405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7723097,"threshold_uncertainty_score":0.4144506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00988126360144741,"score_gpt":0.2424652976705243,"score_spread":0.2325840340690769,"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."}}