{"id":"W767423041","doi":"","title":"A Comparison of Sonication and Microwave-assisted Extraction Method for Speciation of Arsenic in Fish Tissue, DORM-2","year":2003,"lang":"en","type":"article","venue":"Analytical Science and Technology","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arsenobetaine; Arsenate; Arsenite; Chemistry; Chromatography; Sonication; Extraction (chemistry); Arsenic; Inductively coupled plasma mass spectrometry; Nitric acid; Genetic algorithm; Environmental chemistry; Mass spectrometry; Inorganic chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008782847,0.00008068457,0.0002823837,0.0001883697,0.00004703597,0.000009283939,0.0001224013,0.0001759452,0.0000311811],"category_scores_gemma":[0.0020475,0.00007672754,0.00001790925,0.0008881912,0.0005579173,0.00007101119,0.00004212596,0.0001247844,2.850804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008871251,"about_ca_system_score_gemma":0.0001120467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009815475,"about_ca_topic_score_gemma":0.00003799482,"domain_scores_codex":[0.9989089,0.00001350279,0.0003996274,0.000304333,0.0001807926,0.0001928526],"domain_scores_gemma":[0.9991487,0.0002609423,0.0001730224,0.0001655056,0.0002019774,0.00004988496],"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":[0.00001256849,0.0001044169,0.02359349,0.00007802671,0.00000982264,4.339403e-7,0.00003608722,7.891975e-7,0.89226,0.020637,0.000009660172,0.06325776],"study_design_scores_gemma":[0.0002949976,0.00003569926,0.005818306,0.00002648353,0.00003372298,0.00001201684,0.0003772511,0.007578304,0.9775646,0.007181413,0.0009904831,0.00008675892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918431,0.0001116274,0.1019207,0.001144407,0.00001543975,0.0001308515,0.000004143891,0.00002463775,0.004805056],"genre_scores_gemma":[0.8825412,0.00002134461,0.1173378,0.000008451302,0.000003569901,0.000007663645,0.000001874618,0.000003078964,0.00007502383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08530463,"threshold_uncertainty_score":0.3128859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265492327179823,"score_gpt":0.4022064522718633,"score_spread":0.3595515290000651,"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."}}