{"id":"W4393604886","doi":"10.5281/zenodo.7648084","title":"SuperDARN Grid data in netCDF format (2014-May)","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); 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":[0.002070514,0.0003230358,0.0003781893,0.0005962959,0.0012039,0.00266421,0.01217719,0.0002070721,0.0008595531],"category_scores_gemma":[0.0006860134,0.000341063,0.00006374186,0.001388856,0.00009661391,0.0007584253,0.01356574,0.0007654812,0.08876473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756071,"about_ca_system_score_gemma":0.00002089191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004345353,"about_ca_topic_score_gemma":0.000009509239,"domain_scores_codex":[0.9961329,0.0006413894,0.0005929702,0.001118669,0.0007669354,0.0007471024],"domain_scores_gemma":[0.9956682,0.0000801719,0.0002320347,0.003480644,0.0003101435,0.0002287838],"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":[0.000008257513,0.00007608581,5.742112e-7,0.0001745938,0.00002896677,0.00009211285,0.0001230654,0.0001298536,0.000002630195,0.0003168145,0.990683,0.008364102],"study_design_scores_gemma":[0.000353194,0.0001020537,0.00005990638,0.0001376444,0.000008676226,0.0001436063,0.00003461628,0.004942978,0.000001134129,0.00006236766,0.9937986,0.0003552172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001717701,0.0001311931,0.009336522,0.0005759084,0.001187854,0.0005039076,0.9836729,0.001369901,0.003204665],"genre_scores_gemma":[0.0003259384,0.0002760371,0.0001911663,0.0001224684,0.0004545861,5.620621e-8,0.9976168,0.0006781426,0.0003347687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08790517,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641349719634881,"score_gpt":0.2785390159725989,"score_spread":0.2144040440091108,"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."}}