{"id":"W4393814932","doi":"10.5281/zenodo.7651704","title":"SuperDARN Grid data in netCDF format (2005-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; Computer graphics (images); Geology; Operating system; 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":[0.002224542,0.0003265064,0.0003794122,0.0006066674,0.001240903,0.002691348,0.01205868,0.0002080735,0.0008215199],"category_scores_gemma":[0.0007051934,0.0003472122,0.00006251282,0.001453499,0.00009524313,0.0007927263,0.01315494,0.0007803959,0.0670217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052029,"about_ca_system_score_gemma":0.00002309185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002825616,"about_ca_topic_score_gemma":0.00001347795,"domain_scores_codex":[0.996033,0.0006140997,0.0006043129,0.001106309,0.0007846918,0.0008576535],"domain_scores_gemma":[0.9957982,0.00007503523,0.0002280527,0.003364116,0.0002789835,0.0002555581],"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":[0.000008570795,0.00008123583,4.159242e-7,0.0001663528,0.00002978329,0.00009812268,0.0001212213,0.0001485621,0.000002689104,0.0002865679,0.9929094,0.006147099],"study_design_scores_gemma":[0.0003738229,0.00008814709,0.00004557013,0.0001492969,0.000008707268,0.0001530593,0.00003761681,0.007920175,9.705232e-7,0.00005950759,0.9908037,0.0003593914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001627115,0.0001363028,0.008588969,0.000598909,0.001210106,0.0005090652,0.9846497,0.001388679,0.002902036],"genre_scores_gemma":[0.0002008431,0.0002626028,0.0001929806,0.0001314493,0.0004792601,5.517455e-8,0.9976323,0.00068223,0.0004182955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06620018,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06407004838274952,"score_gpt":0.2747795412825308,"score_spread":0.2107094928997813,"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."}}