{"id":"W2800786943","doi":"","title":"Analyzing Temperature and Precipitation Influences on Yield Distributions of Canola and Spring Wheat in Saskatchewan","year":2017,"lang":"en","type":"book-chapter","venue":"American Meteorological Society eBooks","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Canola; Spring (device); Precipitation; Yield (engineering); Environmental science; Agronomy; Geography; Meteorology; Engineering; Biology; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676019,0.0002630508,0.0005447866,0.00001072263,0.000281854,0.00007227174,0.0001847512,0.0003235586,0.00003563547],"category_scores_gemma":[0.0001281896,0.000113798,0.0001899056,0.00002240548,0.0009880713,0.00004186258,0.0001308136,0.0004999105,6.721251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003335584,"about_ca_system_score_gemma":0.00001691158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002701848,"about_ca_topic_score_gemma":0.007054975,"domain_scores_codex":[0.9987592,0.00004274772,0.0003066107,0.0004883488,0.0001663306,0.0002368082],"domain_scores_gemma":[0.9987913,0.0006528622,0.0002830237,0.0001115158,0.00005191307,0.0001093955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002808551,0.00009231101,0.120692,0.00008746549,0.0002286425,0.00001615168,0.00161975,0.000003538324,0.162581,0.006281025,0.0001144103,0.7080029],"study_design_scores_gemma":[0.0001669319,0.001158867,0.9868333,0.0002618774,0.00008708963,0.000003143062,0.00130421,0.00001493072,0.00102727,0.005653973,0.002947089,0.0005412636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897921,0.0002654017,7.905023e-7,0.0003470167,0.00003146809,0.0001852285,0.00011027,0.0000260532,0.009241686],"genre_scores_gemma":[0.9966846,0.0002341972,0.00008972835,0.000152434,0.00007151785,0.00001059437,0.00002071808,0.000001696259,0.002734542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8661414,"threshold_uncertainty_score":0.4640549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929777645169336,"score_gpt":0.2354915167474127,"score_spread":0.2161937402957194,"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."}}