{"id":"W4393748598","doi":"10.5281/zenodo.7651675","title":"SuperDARN Grid data in netCDF format (2005-Sep)","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; 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":[0.0008444521,0.001025928,0.0008526678,0.002975996,0.0007738976,0.00258686,0.001888153,0.001284607,0.2346983],"category_scores_gemma":[0.004146311,0.0006455496,0.0008930835,0.005546447,0.0002369319,0.002070527,0.001424469,0.001648727,0.2103823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152404,"about_ca_system_score_gemma":0.001877315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03146475,"about_ca_topic_score_gemma":0.03296882,"domain_scores_codex":[0.9993395,0.00005906936,0.0000738317,0.0001272543,0.0002770222,0.0001233092],"domain_scores_gemma":[0.9980077,0.0002209546,0.0001559927,0.0004793233,0.000977818,0.0001581996],"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":[0.0000459381,0.00001130338,0.0004592492,0.0001051748,0.000008896433,0.00001827309,0.00001498096,0.0002740959,0.0001239829,0.0006169597,0.9952058,0.003115327],"study_design_scores_gemma":[0.00007431224,0.000005963436,0.00299333,0.00007969324,0.000007101213,0.00002859028,0.00006241535,0.000336162,0.0004912329,0.00131649,0.9945852,0.00001944722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002849668,0.00002952133,0.0005368262,0.0001312237,0.0001250015,0.00002457344,0.9902136,0.002057618,0.006596668],"genre_scores_gemma":[0.001006944,0.00004096895,0.001449586,0.0000746091,0.00002187875,0.00005310028,0.9923024,0.00100744,0.004042998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2346983,"threshold_uncertainty_score":0.7851441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06525514508459344,"score_gpt":0.2762483195021206,"score_spread":0.2109931744175271,"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."}}