{"id":"W4393483813","doi":"10.5281/zenodo.7651642","title":"SuperDARN Grid data in netCDF format (2006-Jan)","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; Computer graphics (images); Meteorology; Database; Geology; Geodesy; Geography; Operating system","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":[0.001984562,0.0003245352,0.0003760963,0.0005905824,0.001239127,0.002720923,0.01185582,0.0002035476,0.0006687762],"category_scores_gemma":[0.0007351746,0.00034496,0.00006233704,0.001686795,0.00009492186,0.0007828553,0.01298102,0.0007679043,0.06460894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827719,"about_ca_system_score_gemma":0.00002111539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004143493,"about_ca_topic_score_gemma":0.00001134748,"domain_scores_codex":[0.9961423,0.000612747,0.0006009967,0.001094088,0.0007817104,0.0007681744],"domain_scores_gemma":[0.9958382,0.00007522201,0.0002277107,0.003306266,0.0003253675,0.0002272211],"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":[0.000008307531,0.00008090786,4.5999e-7,0.0001699875,0.00002868337,0.0001054881,0.0001413995,0.0001394448,0.00000275594,0.0002779441,0.991338,0.007706615],"study_design_scores_gemma":[0.000367929,0.0001037835,0.00005894182,0.000151997,0.000008786968,0.0001575277,0.00003998161,0.005801902,9.471052e-7,0.00006508987,0.9928845,0.0003585982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001817075,0.0001229437,0.009686626,0.0004740806,0.001141122,0.0004889851,0.9835253,0.001303872,0.003238906],"genre_scores_gemma":[0.0002734013,0.0002090676,0.0001816699,0.0001358221,0.0004676773,5.549863e-8,0.9977112,0.0006738753,0.0003471774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06394017,"threshold_uncertainty_score":0.9999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06243668040184415,"score_gpt":0.2737850503262342,"score_spread":0.2113483699243901,"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."}}