{"id":"W4394046499","doi":"10.5281/zenodo.7651182","title":"SuperDARN Grid data in netCDF format (2009-Nov)","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; Computer science; Grid cell; Database; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002091253,0.0003259614,0.0003836444,0.0006056479,0.001228757,0.002688528,0.01207114,0.0002093273,0.0006766686],"category_scores_gemma":[0.0007765092,0.0003460947,0.00006243537,0.001789872,0.00009383155,0.0007612663,0.01304889,0.0007845465,0.06228058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776604,"about_ca_system_score_gemma":0.00002181219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629371,"about_ca_topic_score_gemma":0.000008581869,"domain_scores_codex":[0.9961146,0.0005977353,0.0006102179,0.001118111,0.0007857173,0.0007736307],"domain_scores_gemma":[0.9957283,0.00007406108,0.0002306826,0.003408013,0.0003290033,0.0002299611],"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":[0.000008333309,0.00008214506,4.27302e-7,0.0001676687,0.00002902995,0.0001003385,0.0001304256,0.0001412148,0.000003403164,0.0002686803,0.9915887,0.007479623],"study_design_scores_gemma":[0.000373016,0.0001065973,0.00006469838,0.0001516069,0.000008572225,0.0001557746,0.00003647504,0.006345354,0.00000101881,0.00006504027,0.9923329,0.0003589431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001901785,0.0001407366,0.009765849,0.0004638816,0.001144047,0.0004906076,0.9837596,0.001343985,0.002872228],"genre_scores_gemma":[0.0002748966,0.0002164217,0.0001897937,0.0001345975,0.0004632548,5.247881e-8,0.997731,0.0006706791,0.0003192573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06160391,"threshold_uncertainty_score":0.9998991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556589597479195,"score_gpt":0.2754912365153041,"score_spread":0.2099253405405122,"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."}}