{"id":"W2901996038","doi":"10.1098/rstb.2018.0364","title":"Challenges and future prospects for developing Ca and Mg water quality guidelines: a meta-analysis","year":2018,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Hard water; Water quality; Toxicity; Environmental chemistry; Soft water; Ion; Environmental science; Scale (ratio); Ecology; Chemistry; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1094162,0.003075741,0.01152893,0.003697871,0.0005736048,0.004590143,0.004797809,0.002779012,0.00546728],"category_scores_gemma":[0.1464116,0.001587453,0.04206208,0.004367872,0.0008682945,0.003360412,0.002902627,0.003136744,0.0004627897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002360203,"about_ca_system_score_gemma":0.006055673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775932,"about_ca_topic_score_gemma":0.02792865,"domain_scores_codex":[0.9442511,0.04500809,0.005318823,0.00294216,0.001838465,0.0006413116],"domain_scores_gemma":[0.8786652,0.1010712,0.006061236,0.007507153,0.00538652,0.0013087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001602653,0.00004504337,0.01934525,0.07089072,0.8615987,0.0002047822,0.0001952635,0.00454078,0.0003528025,0.002315108,0.005496448,0.03341244],"study_design_scores_gemma":[0.0009021424,0.0004108829,0.01246198,0.02274857,0.9330655,0.0001064779,0.0002348842,0.006591789,0.0003371388,0.01056369,0.01246084,0.0001160354],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01665192,0.915329,0.04052946,0.01941956,0.002104373,0.0008047343,0.0032171,0.0004722783,0.001471542],"genre_scores_gemma":[0.6029368,0.2587216,0.1032685,0.02335729,0.002078823,0.003390859,0.004485699,0.0005677465,0.001192808],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1094162,"threshold_uncertainty_score":0.5786551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5093879677541149,"score_gpt":0.4362290603481724,"score_spread":0.0731589074059425,"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."}}