{"id":"W1992589081","doi":"10.1016/j.scitotenv.2013.01.047","title":"Bioaccessibility and speciation of arsenic in country foods from contaminated sites in Canada","year":2013,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stantec (Canada); Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic algorithm; Arsenic; Contamination; Environmental chemistry; Environmental science; Contaminated food; Chemistry; Biology; Ecology; Microbiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002128309,0.0002819201,0.0003299105,0.001348412,0.003805895,0.001381543,0.0007170358,0.00036846,0.00157061],"category_scores_gemma":[0.0004480825,0.0002425585,0.0003124841,0.00222161,0.00072463,0.0002354108,0.0004585443,0.0003709552,0.0002418901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02120473,"about_ca_system_score_gemma":0.01699862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943949,"about_ca_topic_score_gemma":0.9970106,"domain_scores_codex":[0.999651,0.00002330876,0.00001247944,0.00006472389,0.000134574,0.0001139913],"domain_scores_gemma":[0.9995461,0.00002020173,0.00003303614,0.000008038224,0.0003363345,0.00005625133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001515986,0.0001932698,0.9144426,0.0002296038,0.0001917083,0.001323788,0.01423092,0.001608271,0.0330247,0.001269479,0.00253379,0.02943591],"study_design_scores_gemma":[0.00001286428,0.0001329563,0.968955,0.00004090171,0.000089218,0.0003623879,0.01719816,0.0009493721,0.006349963,0.0001723529,0.005697927,0.00003883258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963884,0.0002463379,0.0001180038,0.00009541274,0.000004444942,0.00001294177,0.0008593934,0.000005991565,0.00226899],"genre_scores_gemma":[0.9960822,0.0003091248,0.0002230693,0.00004010925,0.000001171346,0.000003445788,0.0003732409,0.000006549167,0.002961074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02120473,"threshold_uncertainty_score":0.1538517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005243568177855243,"score_gpt":0.1785880411354482,"score_spread":0.173344472957593,"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."}}