{"id":"W4415077006","doi":"10.9734/ijecc/2025/v15i105066","title":"Hydrogeochemical Assessment and Irrigation Suitability of Groundwater in Banaskantha’s Vegetation Zone, India","year":2025,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lambton College","funders":"","keywords":"Irrigation; Groundwater; Hydrology (agriculture); Alkalinity; Vegetation (pathology); Dominance (genetics); Water quality; Irrigation statistics","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":[0.0004130951,0.00009014158,0.0001639336,0.0001268953,0.00002534836,0.00002639756,0.0001178596,0.00004594696,0.0001974888],"category_scores_gemma":[0.000004989391,0.00007436491,0.00004802012,0.00005450878,0.0001345469,0.000336377,0.0001505734,0.00009181092,0.000002763887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983821,"about_ca_system_score_gemma":0.000003367453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001487047,"about_ca_topic_score_gemma":0.00006298446,"domain_scores_codex":[0.9990221,0.00004551019,0.0003806944,0.0001425362,0.0002947665,0.0001143774],"domain_scores_gemma":[0.9996842,0.00003471071,0.0001692669,0.0000623446,0.000009921248,0.00003958516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003749646,0.0001449779,0.9793067,0.00001754065,0.00003791094,0.000007720913,0.0005951884,0.00004031102,0.0120775,0.0001926482,0.000004683049,0.007537344],"study_design_scores_gemma":[0.0005955477,0.00006180985,0.992447,0.00006359343,0.00003862118,0.00000839916,0.000195402,0.0007431217,0.003703183,0.001947394,0.0001258995,0.00007002187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980716,0.0001019551,0.0002567181,0.0006434909,0.00008889707,0.00007635555,0.000003025374,0.000001650503,0.0007563485],"genre_scores_gemma":[0.9989319,0.0005835447,0.0003372716,0.0000887413,0.00002469244,0.00000632509,0.00001139029,0.000003468072,0.00001263445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314033,"threshold_uncertainty_score":0.3032513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229761273019255,"score_gpt":0.2630210540159586,"score_spread":0.2507234412857661,"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."}}