{"id":"W2039982414","doi":"10.1080/02508060.2011.611002","title":"Enhancing water security in Saskatchewan, Canada: an opportunity for a water soft path","year":2011,"lang":"en","type":"article","venue":"Water International","topic":"Water resources management and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Path (computing); Water resources; Water security; Environmental resource management; Water resource management; Path analysis (statistics); Environmental science; Business; Computer science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002266759,0.0001611429,0.0001255339,0.0001174509,0.00004319132,0.00005012825,0.0002566455,0.00005742793,0.0008767761],"category_scores_gemma":[0.000002889493,0.0001029059,0.00003767837,0.00001730127,0.00001289583,0.0003347814,0.00008003962,0.00009915258,0.00001980201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754862,"about_ca_system_score_gemma":0.00001759597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0395905,"about_ca_topic_score_gemma":0.4250925,"domain_scores_codex":[0.9989305,0.00001921911,0.0002832088,0.0001994077,0.0001844991,0.0003832236],"domain_scores_gemma":[0.9996939,0.000004378648,0.00001179313,0.0001420267,0.00005877918,0.00008911255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00106025,0.001266467,0.03683238,0.001337117,0.001429667,0.0006243158,0.5535719,0.194802,0.1809313,0.0005612199,0.01872147,0.008861843],"study_design_scores_gemma":[0.0009287653,0.000045654,0.0006904608,0.00002963602,0.0000170475,0.000004796626,0.001626296,0.09509593,0.8613187,0.001981432,0.03777811,0.0004831825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858416,0.00000254132,0.009673931,0.0001422599,0.0007481787,0.0002438284,0.00002536316,0.0001128561,0.003209485],"genre_scores_gemma":[0.996869,0.000001182015,0.0005911298,0.0001777547,0.0001473537,0.00006446951,0.0007980559,0.00003435714,0.001316669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6803873,"threshold_uncertainty_score":0.9668049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675687596476945,"score_gpt":0.1935523302795139,"score_spread":0.1767954543147444,"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."}}