{"id":"W2033376094","doi":"10.1021/es049358b","title":"X-ray Absorption Near-Edge Structure Analysis of Arsenic Species for Application to Biological Environmental Samples","year":2004,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Arsenic; XANES; X-ray absorption spectroscopy; Chemistry; Arsenobetaine; Environmental chemistry; Absorption spectroscopy; Absorption (acoustics); Arsenic toxicity; Spectroscopy; Materials science; Arsenate; Organic chemistry; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002543689,0.0001894908,0.0002525895,0.0004127041,0.0003656862,0.00002067752,0.0005460059,0.0001635068,0.0009342224],"category_scores_gemma":[0.00004323802,0.0001748317,0.0001124311,0.001577527,0.002496542,0.0002268964,0.0003236265,0.0001060002,0.0001194499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183187,"about_ca_system_score_gemma":0.00001646867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003678356,"about_ca_topic_score_gemma":0.00007076092,"domain_scores_codex":[0.9981303,0.00001542688,0.0003454967,0.0007082873,0.0004135645,0.0003869587],"domain_scores_gemma":[0.9992421,0.00002834086,0.0001854723,0.0004210229,0.000003124348,0.0001198863],"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":[0.00001251477,0.0001117482,0.04853215,8.362254e-7,0.00002030703,3.196042e-7,0.0003466572,0.01142183,0.9213071,0.001860599,0.00000636275,0.01637952],"study_design_scores_gemma":[0.0004344362,0.0002877268,0.8054621,0.000002755165,0.00009769668,0.000004404109,0.0009715502,0.001801435,0.1782948,0.002164811,0.01020103,0.0002772677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577932,0.00001749976,0.040528,0.0006158116,0.00004740267,0.000679092,0.0001523775,0.00005846621,0.0001081519],"genre_scores_gemma":[0.9898202,0.00002020259,0.009669133,0.0001708988,0.00001290871,0.00008383646,0.0001380526,0.000009595881,0.00007512418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7569299,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008470496391101949,"score_gpt":0.2219122421469184,"score_spread":0.2134417457558165,"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."}}