{"id":"W4393638119","doi":"10.5281/zenodo.7651360","title":"SuperDARN Grid data in netCDF format (2009-Feb)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NetCDF; Grid; Database; Computer science; Computer graphics (images); Geology; Programming language; Geodesy","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":[0.0008455278,0.001091826,0.0009169984,0.002854533,0.000840667,0.002703942,0.002020709,0.001435528,0.2579808],"category_scores_gemma":[0.004504833,0.0006905757,0.000973214,0.005148933,0.0002587859,0.002354032,0.00171729,0.001801182,0.2489268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467265,"about_ca_system_score_gemma":0.001804344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02788911,"about_ca_topic_score_gemma":0.03232849,"domain_scores_codex":[0.9992913,0.00006101371,0.00008056899,0.0001449411,0.000288617,0.0001335965],"domain_scores_gemma":[0.9979393,0.0002307926,0.000145258,0.0005287033,0.0009944112,0.0001614621],"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":[0.00004266142,0.00001011438,0.0004022425,0.0001053529,0.000007930559,0.00001676854,0.00001384087,0.0002173276,0.0001249568,0.0005207252,0.9958737,0.002664291],"study_design_scores_gemma":[0.00008195704,0.000005857119,0.002640524,0.0000836929,0.000007170791,0.00002873527,0.00006471592,0.0003321157,0.0005056916,0.001345706,0.9948832,0.00002072568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002530585,0.00002687538,0.00048375,0.0001444942,0.000146138,0.00002423975,0.9903735,0.002189138,0.006358935],"genre_scores_gemma":[0.0008897134,0.00004088025,0.001385147,0.00007897239,0.00002352257,0.00005601775,0.9923247,0.00114967,0.004051411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2579808,"threshold_uncertainty_score":0.8630317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06476841892430715,"score_gpt":0.2750090374839591,"score_spread":0.210240618559652,"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."}}