{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004148817,0.0001559619,0.0002725791,0.000001364739,0.000406788,0.00002595958,0.0005433152,0.00007776052,0.0002281109],"category_scores_gemma":[0.0002365013,0.00006495006,0.0005498284,0.0003898994,0.00163164,0.000007423312,0.0007684351,0.0003627489,0.00009768541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008055244,"about_ca_system_score_gemma":0.000008831623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006549478,"about_ca_topic_score_gemma":0.0003682213,"domain_scores_codex":[0.9983819,0.0003231397,0.0002350277,0.0003129142,0.0004294082,0.0003176694],"domain_scores_gemma":[0.9988271,0.0003825034,0.0002338439,0.0004709389,0.00001878931,0.0000668364],"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":[0.00004375738,0.0002333486,0.01757981,0.00001049016,0.0001281597,0.00001686503,0.0001316297,0.0002048293,0.07737853,0.0003856127,0.7806356,0.1232514],"study_design_scores_gemma":[0.00009302703,0.00005984333,0.4536436,0.000008060126,0.00004313177,0.0000491367,0.0005038869,0.000009538522,0.002002494,0.0006692217,0.5428015,0.0001166067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620694,0.00297272,0.0001027122,0.07562289,0.0003117268,0.0003706545,0.000004084694,0.0001137341,0.05843211],"genre_scores_gemma":[0.9699361,0.001685678,0.009155881,0.01771956,0.000117025,0.00000445809,0.00000176447,0.00001364067,0.001365836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4360638,"threshold_uncertainty_score":0.6011845,"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."}}