{"id":"W2034231150","doi":"10.1086/515564","title":"Supergranulation as an Emergent Length Scale","year":2007,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canadian Space Agency","funders":"","keywords":"Physics; Random walk; Polarity (international relations); Magnetic field; Length scale; Magnetic flux; Diffusion; Statistical physics; Scale (ratio); Astrophysics; Mechanics; Quantum mechanics; Statistics","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":[0.0002163542,0.0002513689,0.0003344389,0.0003871914,0.0005579191,0.001123989,0.0007707136,0.0007701581,0.00129621],"category_scores_gemma":[0.0009828424,0.0002802289,0.0005745101,0.000193587,0.0008771301,0.001210242,0.000887454,0.000700007,0.0001470304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314829,"about_ca_system_score_gemma":0.0006149157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004555566,"about_ca_topic_score_gemma":0.002330909,"domain_scores_codex":[0.9998798,0.00001931071,0.000004889137,0.00002956202,0.00003026162,0.00003610258],"domain_scores_gemma":[0.9995062,0.0001567554,0.000127154,0.00004868918,0.0000571084,0.0001041141],"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":[0.00005051806,0.00006022407,0.004267592,0.00005295575,0.00004057866,0.0004070305,0.0002638529,0.8895628,0.02598316,0.07503206,0.0006620365,0.003617128],"study_design_scores_gemma":[0.000009554426,0.00001204921,0.0009510604,0.000003262519,0.000005021172,0.00003021563,0.00002251814,0.9858221,0.0007158713,0.01172546,0.0006949363,0.000007923534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197162,0.0002734861,0.1668627,0.0007060348,0.00007057234,0.00004672245,0.0001540607,0.0004464331,0.01172381],"genre_scores_gemma":[0.9872473,0.0001048022,0.01078225,0.0000552148,0.00001289743,0.00004374603,0.00005741294,0.00006334431,0.001632941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004555566,"threshold_uncertainty_score":0.009539843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0061185656346726,"score_gpt":0.2480783488039141,"score_spread":0.2419597831692415,"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."}}