{"id":"W4393770552","doi":"10.5281/zenodo.7652340","title":"SuperDARN Grid data in netCDF format (2002-Mar)","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); Grid cell; Geology; Database; Geodesy; Programming language","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","insufficient_payload"],"category_scores_codex":[0.0020704,0.0003265366,0.0003808138,0.0005888818,0.001246478,0.002682216,0.01204308,0.0002083451,0.001149666],"category_scores_gemma":[0.0008065528,0.0003471617,0.00006263665,0.001719197,0.00009414085,0.000754033,0.01364527,0.0007778032,0.08128174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854791,"about_ca_system_score_gemma":0.00002061208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003644792,"about_ca_topic_score_gemma":0.00001005042,"domain_scores_codex":[0.9960887,0.0006289072,0.0006053661,0.001108007,0.0007865315,0.0007824511],"domain_scores_gemma":[0.9957581,0.00008067075,0.0002288656,0.003376969,0.0003222733,0.0002331886],"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":[0.000008370084,0.00008095718,3.480787e-7,0.0001749739,0.00002935684,0.0001009761,0.000124594,0.000146359,0.000003037946,0.0001816993,0.9901853,0.008964042],"study_design_scores_gemma":[0.0003658022,0.000103611,0.00005304987,0.000152916,0.000008669585,0.0001440349,0.00003537401,0.008234409,8.855917e-7,0.00004587801,0.9904962,0.0003591511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001212764,0.0001363463,0.0108899,0.0005519479,0.001178699,0.0005091093,0.9811144,0.001341159,0.004266288],"genre_scores_gemma":[0.0001743497,0.0002342854,0.0002224698,0.0001274922,0.0004607225,5.654685e-8,0.9976071,0.0006838687,0.0004897325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08013207,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06291107474294207,"score_gpt":0.2728872784068109,"score_spread":0.2099762036638688,"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."}}