{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750785,0.0002590533,0.0001696442,0.001115618,0.0005751912,0.0007236701,0.0005152922,0.0001665699,0.001038797],"category_scores_gemma":[0.0006222323,0.0002185392,0.0003183308,0.002686044,0.0003547866,0.0003100525,0.0006082559,0.0002882633,0.0001989301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005602232,"about_ca_system_score_gemma":0.003353076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8628779,"about_ca_topic_score_gemma":0.9673797,"domain_scores_codex":[0.9998795,0.00002169633,0.000007473792,0.00002913177,0.00002580787,0.00003628568],"domain_scores_gemma":[0.9996915,0.0001057206,0.00003632657,0.00001707142,0.0001075422,0.00004189505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001706429,0.00003919572,0.9370652,0.00004281094,0.0002691464,0.0003549394,0.001435997,0.009321011,0.006658657,0.001008423,0.002082503,0.04155148],"study_design_scores_gemma":[0.00000288783,0.000007136735,0.9948955,0.000009031268,0.00002424277,0.00002147821,0.001215461,0.002294322,0.0003662538,0.0001671477,0.0009874096,0.000009172544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926671,0.0003030781,0.0003831204,0.0001029663,0.000006534311,0.00001021828,0.001017581,0.0000146934,0.005494665],"genre_scores_gemma":[0.9940626,0.0004351661,0.0004221177,0.00004639063,0.000003734942,0.00001268165,0.001304905,0.00001518631,0.003697157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371221,"threshold_uncertainty_score":0.2758592,"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."}}