{"id":"W4281624121","doi":"10.3390/su14116689","title":"Physicochemical Characterization and Assessment of Magnitude of Pollution to Contribute to Water Sustainability","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"King Saud University; Baylor University","keywords":"Water quality; Environmental science; Surface runoff; Pollution; Rainwater harvesting; Hydrology (agriculture); Leaching (pedology); Watershed; Water pollution; Surface water; Environmental engineering; Soil water; Environmental chemistry; Soil science; Geology; Ecology","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":[0.0009583913,0.0004210759,0.0004022808,0.003452001,0.0004556504,0.001226948,0.0001928533,0.0003032794,0.0008010242],"category_scores_gemma":[0.001035423,0.0001253325,0.0003246029,0.00279114,0.0003377224,0.0004577887,0.0005453052,0.000199506,0.000142852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007249038,"about_ca_system_score_gemma":0.0005049846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007252886,"about_ca_topic_score_gemma":0.0129761,"domain_scores_codex":[0.9993338,0.0001138743,0.00007032532,0.00007510174,0.0003364966,0.00007034027],"domain_scores_gemma":[0.9992009,0.0001064882,0.0002744993,0.00003325557,0.0003405848,0.00004434484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001387736,0.00009590369,0.9098054,0.0003268165,0.0001792633,0.0002626632,0.0006181916,0.00268658,0.04210794,0.0004410674,0.0006358397,0.04270142],"study_design_scores_gemma":[0.000002274577,0.0001658773,0.9866214,0.0000293892,0.00005460166,0.0001388867,0.0009715914,0.002863439,0.005681678,0.0004402727,0.003009151,0.0000214854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865502,0.00115793,0.004735442,0.0001271294,0.00002296616,0.0001115039,0.001477742,0.00003572485,0.005781262],"genre_scores_gemma":[0.9960772,0.0003248212,0.002332832,0.00003269849,0.00001394279,0.00003659533,0.0005141419,0.000005125602,0.000662742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007252886,"threshold_uncertainty_score":0.01442128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008327227997005733,"score_gpt":0.2902348359394801,"score_spread":0.2819076079424744,"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."}}