{"id":"W2474210778","doi":"10.1002/2016sw001390","title":"Verification of high‐speed solar wind stream forecasts using operational solar wind models","year":2016,"lang":"en","type":"article","venue":"Space Weather","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Solar wind; Coronal hole; Wind speed; Meteorology; Coronal mass ejection; Environmental science; Space weather; Corona (planetary geology); Solar observatory; Atmospheric sciences; Magnetopause; Geomagnetic storm; Physics; Plasma; Astrobiology; 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":[0.00170304,0.0008802707,0.0004261177,0.0003919726,0.0003808111,0.0008974347,0.000834419,0.0007225309,0.0008251407],"category_scores_gemma":[0.003043651,0.0002881761,0.0005088222,0.0002995889,0.0003306577,0.000893784,0.0004047472,0.0006470593,0.0002141443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008399945,"about_ca_system_score_gemma":0.001249417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04366457,"about_ca_topic_score_gemma":0.02081705,"domain_scores_codex":[0.9995351,0.0001307165,0.00005880862,0.0001059372,0.0001057839,0.00006361402],"domain_scores_gemma":[0.9978388,0.0008018019,0.0002699007,0.0003008798,0.000620225,0.0001684917],"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":[0.0001148644,0.0001121876,0.02119634,0.00002023982,0.00004809155,0.00005131784,0.00002860807,0.9709826,0.001470753,0.0002489573,0.0003075308,0.00541849],"study_design_scores_gemma":[0.00002058242,0.00002452888,0.003308866,0.000003018032,0.000003672337,0.000003203005,0.00001304813,0.9958302,0.000628569,0.00007890115,0.00007964672,0.000005781961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846013,0.00005332938,0.01162709,0.00008861811,0.00006145455,0.00004691746,0.0009588301,0.0007315284,0.001830773],"genre_scores_gemma":[0.9975827,0.00001208695,0.001844901,0.000005700163,0.000004293125,0.000009985137,0.0004476695,0.00001102381,0.00008171583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04366457,"threshold_uncertainty_score":0.08682084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703488772870995,"score_gpt":0.2330055746830086,"score_spread":0.2159706869542986,"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."}}