{"id":"W2796649255","doi":"10.1175/bams-d-17-0100.1","title":"The Evolution and Impact of a Meteorological Outreach Program for Public Safety Officials: An Update on the Oklahoma Mesonet’s OK-First Program","year":2018,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stillwater (Canada)","funders":"","keywords":"Outreach; Training (meteorology); Law enforcement; Weather radar; Curriculum; Meteorology; Business; Radar; Computer science; Political science; Telecommunications; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01260552,0.0003737643,0.0002886709,0.002784051,0.002937987,0.003253735,0.002490245,0.001279963,0.01279289],"category_scores_gemma":[0.01499008,0.000361329,0.0002958502,0.001992685,0.0007216068,0.002246905,0.003772721,0.002530939,0.001408836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01335764,"about_ca_system_score_gemma":0.02918733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1392913,"about_ca_topic_score_gemma":0.2847492,"domain_scores_codex":[0.9958929,0.001072461,0.0004079423,0.0003049705,0.001601371,0.0007203807],"domain_scores_gemma":[0.9672414,0.006073959,0.002168442,0.001387553,0.01252372,0.01060496],"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":[0.0001892557,0.001509683,0.03572733,0.001013688,0.00003164566,0.0002759171,0.005208529,0.0008574923,0.001846935,0.001398471,0.184756,0.7671852],"study_design_scores_gemma":[0.00008008136,0.0004846263,0.1778883,0.00188085,0.00004727559,0.0001520005,0.005088437,0.0005867693,0.00176766,0.0003048288,0.8116356,0.0000836871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4165541,0.02371348,0.01133841,0.3030137,0.0116666,0.00496135,0.01637769,0.005764893,0.2066097],"genre_scores_gemma":[0.6957145,0.02571378,0.06604422,0.03290386,0.003001391,0.004906583,0.01491208,0.00132236,0.1554812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1392913,"threshold_uncertainty_score":0.276961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900442794817587,"score_gpt":0.2794572158931157,"score_spread":0.2604527879449399,"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."}}