{"id":"W3004098324","doi":"10.5958/0974-083x.2020.00016.3","title":"The use of water quality index (Canadian model) to determine the validity of the river of Al-diwaniyah - Iraq for irrigation","year":2019,"lang":"en","type":"article","venue":"Journal of Punjab Academy of Forensic Medicine & Toxicology","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Irrigation; Water resource management; Quality (philosophy); Water quality; Hydrology (agriculture); Environmental science; Veterinary medicine; Mathematics; Geography; Biology; Medicine; Geology; Computer science; Agronomy; Ecology; Physics; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185067,0.0003482259,0.0002576657,0.00240711,0.0009185681,0.00140819,0.0005786803,0.0002676645,0.001402042],"category_scores_gemma":[0.00312396,0.0001456831,0.0003417794,0.004021699,0.0005140721,0.0006244869,0.0008553662,0.0004151597,0.0002104538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003588781,"about_ca_system_score_gemma":0.005652003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3740937,"about_ca_topic_score_gemma":0.6078655,"domain_scores_codex":[0.9982919,0.0002457401,0.0001084042,0.0001422369,0.001027068,0.0001846947],"domain_scores_gemma":[0.9983361,0.000204925,0.0002253839,0.00008747526,0.001064468,0.00008162896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007625657,0.00006421184,0.9222183,0.000133602,0.0001164799,0.0001324357,0.000712013,0.003078401,0.003535033,0.001561246,0.002512862,0.0658592],"study_design_scores_gemma":[0.00001805931,0.0001554761,0.9472958,0.00009820292,0.00009317468,0.0002496208,0.003980717,0.02292191,0.006159904,0.001453734,0.01749561,0.00007780048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488553,0.0005730493,0.01275749,0.000496792,0.00004475275,0.0003389408,0.003331947,0.0001332886,0.0334684],"genre_scores_gemma":[0.9886311,0.0002501292,0.007444583,0.00005476833,0.000004072111,0.00009707802,0.001276398,0.00001198455,0.002229868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3740937,"threshold_uncertainty_score":0.7438326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1468958264650372,"score_gpt":0.3492436104047405,"score_spread":0.2023477839397033,"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."}}