{"id":"W4394024905","doi":"10.5281/zenodo.7652988","title":"SuperDARN Grid data in netCDF format (1995-Jun)","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; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.00201381,0.0003300756,0.000386457,0.0006027925,0.001263871,0.002733623,0.01232091,0.0002094164,0.000618538],"category_scores_gemma":[0.000720372,0.0003500449,0.00006561252,0.001740883,0.00009690545,0.0007994353,0.01387883,0.0007923016,0.06654929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884388,"about_ca_system_score_gemma":0.00001966882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002623901,"about_ca_topic_score_gemma":0.000007860763,"domain_scores_codex":[0.9960869,0.000629942,0.0006097106,0.001120663,0.0007966183,0.0007561966],"domain_scores_gemma":[0.995765,0.00007859495,0.0002317103,0.003395327,0.0002990469,0.0002302905],"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":[0.000008678287,0.00008035814,5.215412e-7,0.0001837607,0.00003010064,0.00009995021,0.0001441276,0.0001358934,0.000003052302,0.0002524361,0.9916843,0.007376775],"study_design_scores_gemma":[0.0003779447,0.000106636,0.00005360477,0.0001624757,0.000008884974,0.0001514964,0.00003907223,0.007735759,0.000001060522,0.0000822279,0.9909181,0.0003627409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000226656,0.000121914,0.007968015,0.0005147796,0.001239844,0.0005169419,0.9848258,0.00141227,0.003377738],"genre_scores_gemma":[0.0002856409,0.0002218467,0.0001859886,0.0001293898,0.0004718422,5.724609e-8,0.9976444,0.0006914615,0.0003693538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06593075,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07114117330974827,"score_gpt":0.2787288495148509,"score_spread":0.2075876762051027,"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."}}