{"id":"W2901921004","doi":"10.3390/w10111609","title":"Water Footprint for Pulse, Cereal, and Oilseed Crops in Saskatchewan, Canada","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Canola; Agronomy; Sunflower; Yield (engineering); Environmental science; Agriculture; Crop; Productivity; Water use; Biology","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":[0.0002919635,0.0004123543,0.000249936,0.001185048,0.001185099,0.00103061,0.0006361354,0.0002598349,0.002844025],"category_scores_gemma":[0.0005376181,0.0001911701,0.0004762541,0.004469156,0.0003079996,0.0005084731,0.0006515461,0.0003508247,0.0003455965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02869952,"about_ca_system_score_gemma":0.0400422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960789,"about_ca_topic_score_gemma":0.9984733,"domain_scores_codex":[0.9997488,0.00001798659,0.00001589901,0.00004911621,0.0000883442,0.00007991095],"domain_scores_gemma":[0.9991131,0.00004260886,0.0000713688,0.00002631532,0.0006070219,0.0001394898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001959506,0.00009025827,0.8930174,0.0003860847,0.0003826543,0.0005387723,0.001107575,0.005070399,0.004998826,0.001351838,0.02654695,0.06631333],"study_design_scores_gemma":[0.00001540207,0.00001423933,0.9784343,0.0001087269,0.00005562893,0.00006389254,0.002528862,0.00392956,0.0005837654,0.0001539171,0.01407063,0.00004105029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107172,0.002269892,0.001232851,0.001544077,0.00005346059,0.0001636896,0.06202434,0.0001230854,0.02187145],"genre_scores_gemma":[0.9697436,0.001890262,0.001571368,0.0004294247,0.00000881075,0.0001138237,0.0176276,0.00004091571,0.008574066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02869952,"threshold_uncertainty_score":0.2082306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005370242677150466,"score_gpt":0.2054179392288454,"score_spread":0.2000476965516949,"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."}}