{"id":"W3193215967","doi":"10.3390/agriculture11080739","title":"Assessment of Different Water Use Efficiency Calculations for Dominant Forage Crops in the Great Lakes Basin","year":2021,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Water-use efficiency; Transpiration; Environmental science; Evapotranspiration; Water use; Biomass (ecology); Agronomy; Primary production; Atmospheric sciences; Photosynthesis; Ecology; Biology; Irrigation; Ecosystem; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001236419,0.0003113375,0.000238856,0.001248559,0.0003925521,0.000551179,0.0003267683,0.000207331,0.0002415672],"category_scores_gemma":[0.001810865,0.0001696721,0.0003348808,0.001013082,0.0001910526,0.0004560476,0.0003848952,0.0001115599,0.0000624047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009308867,"about_ca_system_score_gemma":0.0006265425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03153685,"about_ca_topic_score_gemma":0.06495953,"domain_scores_codex":[0.999661,0.000112023,0.00002856847,0.0000587268,0.0001141277,0.00002549861],"domain_scores_gemma":[0.9993564,0.0002897088,0.0000872375,0.00005513582,0.0001813489,0.00003013172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000615905,0.0001235955,0.7278234,0.0003535279,0.0006241932,0.0002652042,0.00155521,0.08383712,0.045066,0.001012841,0.0005823,0.1381407],"study_design_scores_gemma":[0.00002597594,0.0001507917,0.8475454,0.00002088981,0.00006960457,0.00009306422,0.0005433138,0.1370315,0.01254701,0.0005567258,0.00137244,0.00004337851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969826,0.00008078462,0.002136997,0.00001858214,9.338784e-7,0.00001126172,0.0001796795,0.00004217172,0.0005468247],"genre_scores_gemma":[0.9935166,0.00007269844,0.005880297,0.000006061864,0.000001348502,0.00002281349,0.000280098,0.00002008217,0.0002001347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9684631,"threshold_uncertainty_score":0.06270659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007607707442653737,"score_gpt":0.2165129533792235,"score_spread":0.2089052459365697,"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."}}