{"id":"W4212955494","doi":"10.2166/wqrj.2022.028","title":"Statistical tools for water quality assessment and monitoring in river ecosystems – a scoping review and recommendations for data analysis","year":2022,"lang":"en","type":"review","venue":"Water Quality Research Journal","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Statistical inference; Computer science; Data mining; Generalized linear mixed model; Data quality; Ordinary least squares; Bayesian probability; Quality (philosophy); Statistical hypothesis testing; Statistical model; Set (abstract data type); Bayesian inference; Machine learning; Econometrics; Statistics; Artificial intelligence; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04870911,0.002077626,0.005618062,0.02253438,0.001094741,0.004683467,0.003948787,0.004013885,0.009087807],"category_scores_gemma":[0.1068194,0.001182463,0.007157199,0.0193923,0.002144109,0.005915237,0.003064245,0.004688057,0.002956254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00496258,"about_ca_system_score_gemma":0.03184129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009398257,"about_ca_topic_score_gemma":0.01515924,"domain_scores_codex":[0.9802979,0.0078297,0.006109485,0.0008520784,0.004493312,0.0004175577],"domain_scores_gemma":[0.8896192,0.07869162,0.008845967,0.002421483,0.01940448,0.001017378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006001419,0.00005891911,0.0003479832,0.4135161,0.001046141,0.0001457976,0.0003991696,0.0004764892,0.0003686939,0.009292862,0.05307036,0.5212175],"study_design_scores_gemma":[0.00003470432,0.00004883272,0.0007851289,0.6789219,0.001913732,0.0001633533,0.0002196405,0.0001915072,0.0001536167,0.007635875,0.3098831,0.00004854234],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006978001,0.9896331,0.002469541,0.004625133,0.001226409,0.0005243967,0.0003717916,0.00005050917,0.001029399],"genre_scores_gemma":[0.0007070328,0.9895608,0.006403428,0.001237898,0.0003001893,0.0009806689,0.000396972,0.00002008149,0.0003929946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04870911,"threshold_uncertainty_score":0.2576015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7128709511661994,"score_gpt":0.6181263442131724,"score_spread":0.094744606953027,"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."}}