{"id":"W4393755206","doi":"10.5281/zenodo.7652723","title":"SuperDARN Grid data in netCDF format (1998-Aug)","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":[0.001969055,0.000325962,0.0003810291,0.0005793847,0.001254611,0.002753552,0.01209652,0.000207938,0.0003983763],"category_scores_gemma":[0.0006168321,0.0003439336,0.00006455804,0.001656644,0.0000945768,0.0007735429,0.01376611,0.0007812605,0.07949025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859525,"about_ca_system_score_gemma":0.00002012216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167388,"about_ca_topic_score_gemma":0.000008999791,"domain_scores_codex":[0.9961525,0.0006094981,0.0006025256,0.001103211,0.0007842127,0.0007480061],"domain_scores_gemma":[0.9959049,0.00007921611,0.0002292104,0.003330751,0.0002309276,0.0002249728],"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":[0.000008286765,0.0000795682,4.432511e-7,0.0001821388,0.00003029421,0.00009779948,0.0001560769,0.0001475861,0.000003703034,0.0002102894,0.9917051,0.007378684],"study_design_scores_gemma":[0.0003654951,0.0001042008,0.00005262308,0.0001603914,0.000008872272,0.0001501817,0.00003903734,0.008365362,9.94007e-7,0.00006628106,0.9903317,0.0003548464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002719133,0.0001163771,0.008706273,0.0004251751,0.001176287,0.000514864,0.9849741,0.001375151,0.002684559],"genre_scores_gemma":[0.0003387296,0.0002091155,0.0001768914,0.0001296952,0.0004648227,5.839589e-8,0.9977004,0.0006799673,0.0003003085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07909188,"threshold_uncertainty_score":0.9999013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06920900628325526,"score_gpt":0.2777910814797099,"score_spread":0.2085820751964546,"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."}}