{"id":"W4392758653","doi":"10.5194/egusphere-egu24-13393","title":"Datasets and tools for local and global meteorological ensemble estimation","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Estimation; Computer science; Geography; Environmental science; Meteorology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002660304,0.001259827,0.0009394428,0.003038751,0.0007107669,0.001524004,0.003109705,0.001248614,0.02923543],"category_scores_gemma":[0.009617115,0.0006285773,0.001517201,0.006344183,0.0003079711,0.002713717,0.002697095,0.00279661,0.0245689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936909,"about_ca_system_score_gemma":0.001660703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008161442,"about_ca_topic_score_gemma":0.009515621,"domain_scores_codex":[0.9986399,0.0002284081,0.0002430883,0.0002136431,0.0005528649,0.0001221116],"domain_scores_gemma":[0.9967934,0.0006778956,0.000231726,0.001090265,0.0009626556,0.000244051],"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":[0.0001541053,0.0001274105,0.003508167,0.0006954954,0.000168825,0.0001691812,0.0001192399,0.02152644,0.001867747,0.009483445,0.9064655,0.05571456],"study_design_scores_gemma":[0.0003518524,0.00004973595,0.008698281,0.0002775287,0.00006773804,0.0001668984,0.0001428831,0.05341808,0.005007692,0.02371699,0.9079356,0.0001668303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002444886,0.0002349621,0.05362405,0.0004100453,0.0002494463,0.0004066869,0.9034846,0.03274161,0.006403611],"genre_scores_gemma":[0.004136128,0.0002281147,0.04418501,0.000161254,0.00005593044,0.0008638297,0.9464678,0.002614859,0.001287035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02923543,"threshold_uncertainty_score":0.09780222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05466777849657078,"score_gpt":0.2921194342246328,"score_spread":0.237451655728062,"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."}}