{"id":"W3209245666","doi":"10.5281/zenodo.1324563","title":"Space Weather Modeling Framework Ensemble Simulations","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ensemble forecasting; Meteorology; Space (punctuation); Computer science; Space weather; Environmental science; Statistical physics; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365735,0.0008938956,0.00116378,0.0007931356,0.0008759646,0.001461811,0.002688959,0.00102855,0.04541608],"category_scores_gemma":[0.003065809,0.0004112237,0.001343241,0.001942134,0.0002320167,0.001901545,0.001110779,0.002432366,0.01871961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009328412,"about_ca_system_score_gemma":0.001437554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02979777,"about_ca_topic_score_gemma":0.02347882,"domain_scores_codex":[0.9992681,0.0001797485,0.00004704317,0.0001124916,0.0002789884,0.0001136567],"domain_scores_gemma":[0.9989343,0.000191537,0.00005255977,0.0001995936,0.0005025987,0.0001193836],"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":[0.0003271321,0.0001731905,0.003984223,0.0002988143,0.0002007645,0.00009119632,0.000111865,0.2178461,0.00169496,0.01758107,0.7316164,0.02607422],"study_design_scores_gemma":[0.0006601379,0.00008900269,0.004057272,0.00009355821,0.00007429208,0.00004915589,0.0001111101,0.5693696,0.002896153,0.01643324,0.4060497,0.0001168708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0271501,0.0006103371,0.08210892,0.001474637,0.001644314,0.0009047263,0.7134991,0.04870886,0.123899],"genre_scores_gemma":[0.1119168,0.0005770014,0.1027188,0.0006928925,0.0003802862,0.001742746,0.7435691,0.01517016,0.02323226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04541608,"threshold_uncertainty_score":0.1519319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084919979677655,"score_gpt":0.244671810780541,"score_spread":0.2138226109837644,"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."}}