{"id":"W2912277273","doi":"10.3847/1538-4365/aaf8b3","title":"Forecasting the Ambient Solar Wind with Numerical Models. I. On the Implementation of an Operational Framework","year":2019,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Solar wind; Space weather; Coronal mass ejection; Coronal hole; Interplanetary magnetic field; Meteorology; Geomagnetic storm; Physics; Environmental science; Geophysics; Magnetic field","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":[0.001595431,0.0006542759,0.0006102567,0.0003527706,0.000393736,0.00133884,0.001271918,0.0009695473,0.0008016247],"category_scores_gemma":[0.004659398,0.0004033244,0.0005932452,0.0004258837,0.0007249836,0.001531649,0.0009311417,0.001291569,0.0001339385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008329818,"about_ca_system_score_gemma":0.001471245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03392945,"about_ca_topic_score_gemma":0.0159684,"domain_scores_codex":[0.9996057,0.0001787462,0.0000313408,0.00005084214,0.00009824764,0.00003513446],"domain_scores_gemma":[0.9990477,0.000392939,0.0001339206,0.0001676572,0.0001970468,0.00006074509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001278198,0.00002534917,0.0009273178,0.00000698242,0.00001180789,0.00001081766,0.00001058606,0.9920961,0.0003107239,0.002860962,0.0001127542,0.003613906],"study_design_scores_gemma":[0.000002467784,0.000004247042,0.00007672954,0.000001515558,9.827436e-7,6.88984e-7,0.000002884549,0.9993114,0.00007363183,0.0004483923,0.00007584682,0.000001209472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4621981,0.0003803626,0.5232604,0.001204307,0.000121665,0.0001686494,0.0006055323,0.001369089,0.01069188],"genre_scores_gemma":[0.9038653,0.0001344711,0.09474075,0.00006355496,0.00003632944,0.0001132925,0.0003849651,0.00006603258,0.0005954151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03392945,"threshold_uncertainty_score":0.06746387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115056214663956,"score_gpt":0.2440103787782407,"score_spread":0.2328598166316011,"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."}}