{"id":"W4213365949","doi":"10.3390/w14040633","title":"Application of Magnesium Oxide Media for Remineralization and Removal of Divalent Metals in Drinking Water Treatment: A Review","year":2022,"lang":"en","type":"review","venue":"Water","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnesium; Remineralisation; Water treatment; Environmental science; Chemistry; Environmental chemistry; Environmental engineering; Inorganic chemistry; Fluoride","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005275878,0.0001768477,0.0007494634,0.00009210015,0.00002397303,0.000003808474,0.0001289845,0.0000767389,0.0004933224],"category_scores_gemma":[0.00001986439,0.00009421878,0.0001545156,0.0001026227,0.00004560135,0.00008515491,0.0001343349,0.00004455452,0.000005787645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166796,"about_ca_system_score_gemma":0.000004833887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268301,"about_ca_topic_score_gemma":0.00002164735,"domain_scores_codex":[0.9986814,0.0001007914,0.0006225627,0.0002718668,0.0001792864,0.00014412],"domain_scores_gemma":[0.999486,0.00004451564,0.0002044412,0.0002347059,0.000007142824,0.00002313586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006630804,0.0001126144,0.00002732971,0.03297368,0.00002950649,0.000006830706,0.0006668722,0.000003918406,0.006297198,0.00007902295,0.0001707911,0.9596256],"study_design_scores_gemma":[0.0001098316,0.00004337492,0.000002661834,0.001044935,0.0003115474,0.0000144791,0.000003546337,0.00001398359,0.008093353,0.0001995229,0.9900368,0.0001259082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002880588,0.9964548,0.0005029098,0.0000691135,0.00003109512,0.002256793,0.00002288112,0.00001659559,0.0003577197],"genre_scores_gemma":[0.0003402315,0.9966307,0.0009086463,0.0000313319,0.0000172881,0.0007813064,0.0008255352,0.00002165357,0.000443346],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9898661,"threshold_uncertainty_score":0.5401534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061985665259399,"score_gpt":0.2917331954723262,"score_spread":0.2611133388197322,"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."}}