{"id":"W1965579581","doi":"10.1007/bf02839885","title":"Speciation studies of arsenic in the environment and in human","year":2006,"lang":"en","type":"article","venue":"Geochemistry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Genetic algorithm; Arsenic; Environmental chemistry; Geology; Earth science; Chemistry; Biology; Evolutionary biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003857246,0.0002463578,0.000253265,0.0009791884,0.0006199167,0.0004619697,0.0002146963,0.0005238751,0.001743178],"category_scores_gemma":[0.0003475994,0.0001644496,0.0003047748,0.0005872871,0.0003392169,0.0002833088,0.0003437274,0.0002013994,0.0002806168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445145,"about_ca_system_score_gemma":0.0004344816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004214255,"about_ca_topic_score_gemma":0.005064276,"domain_scores_codex":[0.9997287,0.0001309517,0.00001401929,0.00004977386,0.00004832136,0.00002814474],"domain_scores_gemma":[0.9999007,0.00001981398,0.00001812658,0.000007631646,0.00004047838,0.00001321435],"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":[0.003227277,0.0003638076,0.1360275,0.001306994,0.0005112548,0.0009361083,0.003845414,0.002098376,0.7558466,0.0052974,0.001848558,0.08869065],"study_design_scores_gemma":[0.0001087223,0.003642452,0.1086508,0.00009196467,0.0005440509,0.006078838,0.004255799,0.002195006,0.8023483,0.004641796,0.06736782,0.00007438617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804271,0.008945373,0.004081119,0.000546292,0.00005543836,0.00001465805,0.0002470806,0.00003626432,0.005646732],"genre_scores_gemma":[0.9893773,0.004307888,0.001039332,0.0001164549,0.00003344357,0.000006434626,0.0001311887,0.0000110955,0.004976939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004214255,"threshold_uncertainty_score":0.008379459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009305289406312369,"score_gpt":0.2273215026486906,"score_spread":0.2180162132423782,"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."}}