{"id":"W4408008150","doi":"10.20944/preprints202502.1948.v1","title":"An Assessment of Collector-Drainage Water and Groundwater – An Application of CCME WQI Model","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage; Groundwater; Environmental science; Water resource management; Hydrology (agriculture); Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033359,0.0002602308,0.000478687,0.0001143469,0.00008968248,0.00002211267,0.0006077457,0.0002185641,0.0001846176],"category_scores_gemma":[0.000009296368,0.0002176419,0.0001189733,0.0001122632,0.0002008837,0.0001716748,0.001608322,0.0002896648,0.00002038264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836165,"about_ca_system_score_gemma":0.00002993654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003830366,"about_ca_topic_score_gemma":0.00002861818,"domain_scores_codex":[0.997627,0.0002322645,0.0005702387,0.0009109206,0.000411983,0.0002475495],"domain_scores_gemma":[0.9982206,0.00002042098,0.0002266368,0.001372791,0.00004166385,0.0001178811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001693124,0.0004665023,0.5058405,0.0002371464,0.00008025386,6.004666e-7,0.00196315,0.07506246,0.4158745,0.0001042598,0.000002728837,0.0003509371],"study_design_scores_gemma":[0.0002757884,0.00005232211,0.3374189,0.00006929043,0.0001919347,6.18714e-7,0.0001327694,0.1268546,0.5274852,0.007005412,0.0001182042,0.0003949762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984459,0.000004286368,0.01216958,0.00008767344,0.000060878,0.0003736837,0.00003452775,0.00004630495,0.002764025],"genre_scores_gemma":[0.9949517,0.00001123298,0.003283707,0.00001490607,0.00003233256,0.0001164784,0.0001287032,0.00001600502,0.001444993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1684216,"threshold_uncertainty_score":0.8875178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0802255037501086,"score_gpt":0.3813252988301178,"score_spread":0.3010997950800092,"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."}}