{"id":"W2736147774","doi":"10.1126/science.aal3999","title":"Reconciling solar and stellar magnetic cycles with nonlinear dynamo simulations","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"National Research Council Canada; European Research Council; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche","keywords":"Dynamo; Physics; Dynamo theory; Astrophysics; Rossby number; Stars; Solar cycle; Convection zone; Rotation (mathematics); Convection; Solar rotation; Turbulence; Stellar rotation; Magnetic field; Solar dynamo; Astronomy; Solar physics; Mechanics; Solar wind; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001343714,0.00006819875,0.0000699341,0.00003174262,0.0009643676,0.0003465816,0.0002322685,0.00001175775,0.00003186301],"category_scores_gemma":[0.00001974555,0.00005572797,0.00001282923,0.00006213517,0.0004396102,0.0003369749,0.0000739879,0.0000734824,0.000009457893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008284596,"about_ca_system_score_gemma":0.00008681722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000819515,"about_ca_topic_score_gemma":0.00008042398,"domain_scores_codex":[0.9994192,0.000005205555,0.00006044096,0.0002004863,0.0001371681,0.0001775325],"domain_scores_gemma":[0.9994786,0.00002975269,0.00005288841,0.0003042529,0.0000573455,0.00007718056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005598261,0.00002484552,0.966373,0.000004341233,0.000005513677,0.000001553036,0.000342321,0.002778256,0.001890105,0.001302168,0.000002105894,0.0272702],"study_design_scores_gemma":[0.0004026378,0.00007585581,0.1615277,0.00002825251,0.00001921685,0.000002172632,0.0004938896,0.8336225,0.001344373,0.001678099,0.0005808314,0.0002245166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935936,0.00001896979,0.002784164,0.0001154359,0.00006574445,0.00006850738,0.00002158515,0.00001041963,0.003321613],"genre_scores_gemma":[0.9928408,0.000001676588,0.006858031,0.000008493168,0.00004182815,0.000001042295,0.000002241121,0.000005005669,0.0002409258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8308442,"threshold_uncertainty_score":0.7417234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009763323639542534,"score_gpt":0.2564131428186032,"score_spread":0.2466498191790606,"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."}}