{"id":"W3170372619","doi":"10.1175/bams-d-20-0306.1","title":"The Manitoba Agriculture Mesonet: Technical Overview","year":2021,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture Food and Rural Development","funders":"University of Manitoba","keywords":"Environmental science; Weather station; Automatic weather station; Meteorology; Wind speed; Agriculture; Surface weather observation; Meteorological disasters; Geography; Weather forecasting","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00313341,0.001270106,0.0004299214,0.005332228,0.002477376,0.003544061,0.002180761,0.000564175,0.08776794],"category_scores_gemma":[0.002090113,0.0008304802,0.0003595669,0.00882888,0.000363088,0.001217947,0.002132905,0.0007248195,0.06002461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008836858,"about_ca_system_score_gemma":0.02494223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6422612,"about_ca_topic_score_gemma":0.6973466,"domain_scores_codex":[0.9988359,0.0001406199,0.00006395286,0.0001745599,0.0005787925,0.0002062749],"domain_scores_gemma":[0.9956333,0.0001746311,0.0001726017,0.0002767616,0.003226053,0.0005165959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002830182,0.0002658544,0.02444051,0.001179907,0.00003480398,0.0005415134,0.0006845067,0.00130038,0.005022936,0.006772049,0.7060822,0.2533924],"study_design_scores_gemma":[0.00001347351,0.00003250829,0.01697169,0.0002285795,0.000007767755,0.00006866205,0.0003215983,0.0004464543,0.0006884194,0.0002618089,0.9809411,0.0000178736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0296333,0.01731972,0.03686443,0.009000573,0.003113587,0.006751332,0.2397814,0.01160904,0.6459266],"genre_scores_gemma":[0.04894634,0.01702326,0.046804,0.001634597,0.000742092,0.003195208,0.1675932,0.002702235,0.7113591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3577388,"threshold_uncertainty_score":0.7196912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025865283130466,"score_gpt":0.2192693896951423,"score_spread":0.2090107368638376,"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."}}