{"id":"W1969001240","doi":"10.4296/cwrj2601017","title":"Agricultural Water Use in Ontario","year":2001,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Water use; Environmental science; Water resource management; Geography; Agronomy; Archaeology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000133565,0.0001703404,0.0001726914,0.001367959,0.001745186,0.0009394537,0.0003012254,0.0001409098,0.004716079],"category_scores_gemma":[0.0007608326,0.0001444374,0.0002875183,0.005467306,0.0003365643,0.000322458,0.0005328194,0.0001330074,0.000371294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02253711,"about_ca_system_score_gemma":0.01876821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916152,"about_ca_topic_score_gemma":0.9970516,"domain_scores_codex":[0.999558,0.00001831104,0.00002665168,0.00005808724,0.0002294791,0.0001093226],"domain_scores_gemma":[0.9994355,0.00002854476,0.0001337317,0.00001741774,0.0002669101,0.0001179494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000118011,0.00003048534,0.8883702,0.0004037514,0.00007979307,0.0007053184,0.008982579,0.0009168152,0.002208998,0.001912818,0.0235542,0.072717],"study_design_scores_gemma":[0.000004400055,0.00001187547,0.9620367,0.00003277419,0.00001170047,0.00006405783,0.001727269,0.000220584,0.0001109599,0.00009687361,0.03567121,0.0000116278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028491,0.002831515,0.0003807645,0.001395455,0.00003315127,0.00009561957,0.03008674,0.00008255761,0.06224506],"genre_scores_gemma":[0.9715804,0.002609104,0.0004036262,0.0001114001,0.000008223536,0.00005830045,0.005681432,0.00001829477,0.0195292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02253711,"threshold_uncertainty_score":0.163519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401178225540772,"score_gpt":0.1687272980951906,"score_spread":0.1547155158397829,"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."}}