{"id":"W2033452439","doi":"10.3390/ijerph6031010","title":"Well Water Arsenic Exposure, Arsenic Induced Skin-Lesions and Self-Reported Morbidity in Inner Mongolia","year":2009,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"RTI International; U.S. Environmental Protection Agency","keywords":"Arsenic; Arsenic poisoning; Inner mongolia; Medicine; Skin lesion; Arsenic toxicity; Arsenic contamination of groundwater; Environmental health; Dermatology; Chemistry; Geography; China","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":[],"consensus_categories":[],"category_scores_codex":[0.002200001,0.0001216977,0.0001728608,0.0003259468,0.0001417064,0.00008715435,0.0002415064,0.00007840533,0.0008398215],"category_scores_gemma":[0.00009535767,0.00009661206,0.00004124759,0.0001301727,0.0001674893,0.0006136807,0.0001860251,0.0004913976,0.00004666319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000685494,"about_ca_system_score_gemma":0.00008817867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002492848,"about_ca_topic_score_gemma":0.000212177,"domain_scores_codex":[0.9973646,0.0002719132,0.0005990802,0.0002483547,0.001079872,0.0004361242],"domain_scores_gemma":[0.99911,0.00008622238,0.0001837,0.0001241126,0.00003124714,0.0004647101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002027821,0.00473987,0.2093016,0.00001340534,0.0001673501,0.0003705634,0.007856134,0.00003427119,0.04368307,0.000772464,0.00239795,0.7304605],"study_design_scores_gemma":[0.001303199,0.0006875244,0.9775491,0.00002288564,0.000002899581,0.0002709097,0.0008296925,0.0003360746,0.0008541092,0.001588239,0.01643478,0.0001205933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874828,0.000112365,0.0000365997,0.01085128,0.0001116419,0.0001908159,0.000005973468,0.000007069244,0.001201497],"genre_scores_gemma":[0.9968072,0.001956315,0.0002179819,0.0006456271,0.00007919326,0.000003838488,0.00001556464,0.000008110113,0.0002661649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7682474,"threshold_uncertainty_score":0.9195457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0523993748063597,"score_gpt":0.3440901032345953,"score_spread":0.2916907284282356,"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."}}