{"id":"W2980185676","doi":"","title":"Poisoned perfection: Welling concerns about arsenic, drinking water, and public health in rural Newfoundland.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental health; Perfection; Arsenic; Public health; Medicine; Pathology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000394624,0.0000949254,0.0001085233,0.00042184,0.002254581,0.0008138613,0.0003497889,0.0005688746,0.00523135],"category_scores_gemma":[0.0008911501,0.00008930393,0.0001079285,0.0006470889,0.001104182,0.0006190998,0.0006744444,0.0006637609,0.0002322761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006123289,"about_ca_system_score_gemma":0.01163295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8817842,"about_ca_topic_score_gemma":0.9711511,"domain_scores_codex":[0.9998134,0.00005487257,0.00001235318,0.00001659023,0.00003573358,0.00006707142],"domain_scores_gemma":[0.9992255,0.0001442691,0.0001867564,0.0000243916,0.0002207894,0.000198168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004693689,0.0001996574,0.4727912,0.0006979141,0.00006468879,0.003955656,0.02338845,0.000295268,0.005704374,0.004915481,0.2648828,0.2226352],"study_design_scores_gemma":[0.00001468264,0.0001763943,0.7787119,0.0004021262,0.00007908299,0.001303402,0.06485964,0.0001726113,0.001119123,0.0006911552,0.1524331,0.00003675898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6805221,0.02439945,0.0004885618,0.2362301,0.0006789795,0.00005413748,0.002171356,0.0001124217,0.05534283],"genre_scores_gemma":[0.9321641,0.0153358,0.0005787559,0.01332626,0.0001645054,0.00001564605,0.0004651015,0.00001454619,0.03793531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1182158,"threshold_uncertainty_score":0.237824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561828820204466,"score_gpt":0.2424094936529941,"score_spread":0.2167912054509494,"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."}}