{"id":"W7162023604","doi":"10.82308/2830","title":"Evaluating precipitation forecasts from the High Resolution Ensemble Kalman Filter (HREnKF) over the Pacific Northwest","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pacific ocean; High resolution; Nova scotia","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001175154,0.0003315674,0.0002648606,0.0001075072,0.0008559052,0.0002786578,0.0004933996,0.0002030759,0.01055291],"category_scores_gemma":[0.0002556987,0.000156559,0.0002222435,0.0003192452,0.00005457106,0.0004008417,0.000009045814,0.0002694658,0.0007444022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001991802,"about_ca_system_score_gemma":0.0001184265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01238078,"about_ca_topic_score_gemma":0.1909498,"domain_scores_codex":[0.9969572,0.0004888566,0.0005312677,0.0005220553,0.001143951,0.0003566645],"domain_scores_gemma":[0.9975653,0.001092138,0.0004900082,0.0005063386,0.0002725668,0.00007359736],"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":[0.0004697786,0.00003855889,0.2659471,0.00004272648,0.0006160655,0.00000243347,0.006413496,0.001807239,0.001083925,0.0002396565,0.02346906,0.6998699],"study_design_scores_gemma":[0.0003740542,0.00008246468,0.9809965,0.0001416092,0.0003164798,3.765712e-7,0.001478118,0.0100229,0.0002774771,0.004408157,0.001576912,0.0003249293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716148,0.0009037782,0.0003252094,0.0008221273,0.001620506,0.0006334099,0.0004366315,0.00007451866,0.02356902],"genre_scores_gemma":[0.9699019,0.0001410516,0.0004665477,0.0001809898,0.0007613404,0.00002278541,0.01635678,0.00001382526,0.01215474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7150494,"threshold_uncertainty_score":0.9941959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406829373530304,"score_gpt":0.2732408665491876,"score_spread":0.2291725728138846,"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."}}