{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430604,0.0001316401,0.0002680672,0.00005862922,0.0001648968,0.00001184336,0.0001832622,0.00003529455,0.0007435834],"category_scores_gemma":[0.0002284458,0.0001179458,0.00006306091,0.0003228571,0.0001761731,0.0001379651,0.0009547516,0.0001373022,0.000002238387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002806186,"about_ca_system_score_gemma":0.0001397008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914695,"about_ca_topic_score_gemma":0.00001355376,"domain_scores_codex":[0.9979798,0.0004114147,0.0004358046,0.0003922915,0.0004445954,0.000336125],"domain_scores_gemma":[0.9991252,0.00003214755,0.00009729043,0.0003769347,0.0002119724,0.0001564932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006220481,0.002190438,0.3631185,0.0007145059,0.00003935043,0.00000439809,0.01037375,0.009144877,0.586035,0.008689997,0.0003258967,0.01874132],"study_design_scores_gemma":[0.0004084384,0.0004618296,0.9275873,0.000003038874,0.00001841305,0.000001209583,0.001230464,0.0002434767,0.05100549,0.006556391,0.01229887,0.0001850461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977509,0.000001465172,0.007136983,0.01386197,0.00005000513,0.00118448,0.0001518317,0.00001943907,0.00008478647],"genre_scores_gemma":[0.9988273,5.303873e-7,0.0004062845,0.0002899492,0.00001154715,0.0001642364,0.00006107004,0.000006939294,0.0002321787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5644689,"threshold_uncertainty_score":0.8141717,"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."}}