{"id":"W1985307351","doi":"10.1021/es900086r","title":"Arsenic Speciation of Terrestrial Invertebrates","year":2009,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Simon Fraser University","funders":"National Research Council Canada","keywords":"Arsenobetaine; Arsenic; Environmental chemistry; Arsenate; Genetic algorithm; Metalloid; Arsenite; Invertebrate; Chemistry; Inductively coupled plasma mass spectrometry; Biology; Ecology; Mass spectrometry; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002409293,0.000099839,0.0001096122,0.0002093335,0.000155645,0.0000100578,0.0003812348,0.00008384646,0.001473632],"category_scores_gemma":[0.00005389286,0.00009625526,0.00003306188,0.0007890978,0.001395088,0.0003720383,0.0001419493,0.00009696008,0.0003389956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272499,"about_ca_system_score_gemma":0.00001505683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001240459,"about_ca_topic_score_gemma":0.00001148158,"domain_scores_codex":[0.9987912,0.0000142966,0.0002295987,0.0003228931,0.0003926148,0.0002494253],"domain_scores_gemma":[0.9995402,0.000009647997,0.0001398766,0.0002480609,0.000001480814,0.00006070335],"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":[0.000006021878,0.0001030383,0.03194794,2.323987e-7,0.000001157454,0.000001591404,0.0001623714,0.00006310922,0.8143749,0.001353013,0.0001471383,0.1518394],"study_design_scores_gemma":[0.000596197,0.0003629409,0.489307,0.000006560353,0.000009699744,0.00001789207,0.0004746007,0.001819322,0.4913783,0.009285982,0.006516218,0.0002252299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885762,0.00001492843,0.0004129073,0.001042994,0.0001052766,0.0001724691,0.000002009148,0.00005966677,0.009613578],"genre_scores_gemma":[0.9986691,0.00001905064,0.0008058219,0.0001500832,0.00001730794,0.000004301357,0.000004113244,0.000003475451,0.0003267672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4573591,"threshold_uncertainty_score":0.9994392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00473185952251897,"score_gpt":0.2055442112581698,"score_spread":0.2008123517356508,"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."}}