{"id":"W2730822619","doi":"10.4236/jwarp.2017.98059","title":"The Potential Relationship between the Incidence of Neurodegenerative Disease and Trace Mineral Composition in the Drinking Water of Rural Residents of Ontario","year":2017,"lang":"en","type":"article","venue":"Journal of Water Resource and Protection","topic":"Trace Elements in Health","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental health; Incidence (geometry); Disease; Potassium; Medicine; Toxicology; Biology; Chemistry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001771293,0.000110084,0.0001438171,0.0004933333,0.001022393,0.0004424786,0.0003183854,0.0001759174,0.00164217],"category_scores_gemma":[0.001154588,0.0001736292,0.0001402828,0.0009112075,0.000367789,0.0002023475,0.000351133,0.000168581,0.0001213427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203213,"about_ca_system_score_gemma":0.002173486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.806346,"about_ca_topic_score_gemma":0.9006226,"domain_scores_codex":[0.9997272,0.00003300965,0.00001794331,0.00004418461,0.00008515985,0.00009235035],"domain_scores_gemma":[0.9993735,0.00007330408,0.0002571374,0.00002052137,0.0001545635,0.0001211315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003756243,0.00001320906,0.9976,0.00000831738,0.000008298341,0.00006514414,0.0006538879,0.00001281598,0.0004007184,0.00001411504,0.00006590897,0.001120125],"study_design_scores_gemma":[0.000001168878,0.0000141476,0.9990902,0.000002612951,0.000003347983,0.00003889012,0.0006642572,0.00003553306,0.00002538591,0.000006839369,0.0001164854,0.000001150098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992517,0.00004617873,0.00002036738,0.00004165432,7.286165e-7,0.000003501711,0.0001100476,9.181941e-7,0.000524956],"genre_scores_gemma":[0.9994088,0.00006448571,0.00002753379,0.000009295975,0.000001248906,0.000002820289,0.00006883314,6.171351e-7,0.0004164423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193654,"threshold_uncertainty_score":0.3895889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136560773406166,"score_gpt":0.2865635294368968,"score_spread":0.2551979217028352,"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."}}