{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003086486,0.0003251958,0.0003262115,0.001347198,0.004409096,0.003378819,0.001068211,0.0005288079,0.004399048],"category_scores_gemma":[0.004929864,0.0002524121,0.0003697327,0.003827695,0.002279106,0.001896698,0.002597057,0.001213444,0.0001806817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04189118,"about_ca_system_score_gemma":0.1611486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9527497,"about_ca_topic_score_gemma":0.9916521,"domain_scores_codex":[0.9969656,0.0012681,0.000077627,0.0001884723,0.0007180335,0.0007821059],"domain_scores_gemma":[0.9938424,0.00173475,0.0003033414,0.0003910477,0.002847962,0.0008805768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001194885,0.001002015,0.2970026,0.001347362,0.0004531767,0.00237863,0.0172504,0.0488254,0.01777459,0.1641698,0.03355681,0.4150444],"study_design_scores_gemma":[0.000347777,0.001294508,0.4329734,0.001080807,0.0003204499,0.0003046204,0.1888876,0.04001626,0.01282327,0.084631,0.2368268,0.0004935566],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435707,0.0008520793,0.02726162,0.03018951,0.0001802097,0.001758918,0.002726765,0.0001495978,0.09331055],"genre_scores_gemma":[0.9268884,0.001040016,0.05599415,0.002340597,0.00001006126,0.0005250388,0.0006831718,0.00004306909,0.01247549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04725027,"threshold_uncertainty_score":0.3039433,"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."}}