{"id":"W2044668591","doi":"10.1139/cjps2011-192","title":"Short Communication: Climate change and biofuel wheat: A case study of southern Saskatchewan","year":2012,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Climate change; Environmental science; DSSAT; Baseline (sea); Precipitation; Biofuel; Biomass (ecology); Forcing (mathematics); Greenhouse gas; Grain yield; Crop; Climatology; Agronomy; Meteorology; Geography; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000469568,0.0003468135,0.0004755972,0.00003454652,0.0004324292,0.00008310211,0.0003729811,0.0001636235,0.0002414643],"category_scores_gemma":[0.00001946144,0.0001434993,0.0000984863,0.0004737701,0.0001603387,0.0002676584,0.000486018,0.000199911,0.00006052727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003595697,"about_ca_system_score_gemma":0.000003169323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005801135,"about_ca_topic_score_gemma":0.02154551,"domain_scores_codex":[0.9979823,0.0002337336,0.000461826,0.0003639148,0.0002990238,0.0006591895],"domain_scores_gemma":[0.9988359,0.0001870343,0.0002028421,0.0002927603,0.0001325637,0.0003489566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001473021,0.00394632,0.581759,0.0001541575,0.0001516392,0.0001443573,0.05592706,1.383672e-7,0.2644329,0.00004771119,0.0006824362,0.092607],"study_design_scores_gemma":[0.0009600236,0.001163399,0.6797647,0.0001614345,0.0001656266,0.00143683,0.3095591,0.00002161455,0.0006801822,0.00002830685,0.005128747,0.0009299891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945922,0.001912235,2.928377e-7,0.0009937343,0.00008314801,0.001017565,0.001117283,0.0001224686,0.0001610915],"genre_scores_gemma":[0.9987422,0.000222778,0.00009918149,0.0002221555,0.000398406,0.00007222415,0.0002034681,0.000005034663,0.0000345649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637527,"threshold_uncertainty_score":0.9963087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4887398893741088,"score_gpt":0.2801789615199231,"score_spread":0.2085609278541857,"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."}}