{"id":"W6927420197","doi":"10.25946/28656038","title":"Developing indices for agricultural water quality","year":2025,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Agriculture; Index (typography); Quality (philosophy); Farm water; Sanitation; Surface water; Variety (cybernetics)","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":[0.01304157,0.000934621,0.0007569931,0.01348152,0.0005524242,0.00418851,0.001159931,0.0005835337,0.003930631],"category_scores_gemma":[0.02810286,0.0003568325,0.001401053,0.01693324,0.0008926079,0.003916899,0.002056896,0.00104581,0.001044034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003617781,"about_ca_system_score_gemma":0.003378588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00694797,"about_ca_topic_score_gemma":0.009630664,"domain_scores_codex":[0.9915317,0.002769231,0.00135276,0.0008465838,0.003286838,0.0002129224],"domain_scores_gemma":[0.9843816,0.005270715,0.002827601,0.0008063982,0.006501014,0.0002127438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008441984,0.000119505,0.07129505,0.003041405,0.0005202357,0.00009746083,0.002091873,0.01191696,0.003215257,0.05406078,0.01403999,0.8395171],"study_design_scores_gemma":[0.00009663481,0.001401924,0.3178962,0.005615098,0.000869261,0.0006657962,0.01987453,0.1160967,0.0191468,0.1220732,0.3958177,0.0004461669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1076793,0.008360839,0.6870933,0.001758078,0.0004298351,0.003653222,0.01306002,0.001055499,0.17691],"genre_scores_gemma":[0.3849971,0.00489064,0.596468,0.000190056,0.00006678365,0.002368463,0.005234246,0.0001006254,0.005684176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01348152,"threshold_uncertainty_score":0.06897122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011415975353591,"score_gpt":0.361869088331171,"score_spread":0.2607274907958119,"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."}}