{"id":"W4393597553","doi":"10.5281/zenodo.7647925","title":"SuperDARN Grid data in netCDF format (2014-Nov)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002072346,0.0003228859,0.0003777476,0.0005820657,0.001216491,0.002655186,0.0121892,0.0002063805,0.0008438205],"category_scores_gemma":[0.0007457706,0.0003409503,0.00005654468,0.001528047,0.00009591599,0.0007565038,0.01360494,0.0007701416,0.08847447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808763,"about_ca_system_score_gemma":0.00002387713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004026815,"about_ca_topic_score_gemma":0.000009905469,"domain_scores_codex":[0.9961557,0.0006123092,0.0005970349,0.001117282,0.0007701765,0.0007475357],"domain_scores_gemma":[0.9956102,0.00007787172,0.0002332972,0.003479955,0.00037314,0.0002255051],"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":[0.000008351682,0.00007754195,4.884885e-7,0.0001746392,0.00002903432,0.0000894745,0.0001232967,0.0001265993,0.000003641466,0.0002772752,0.9925142,0.006575455],"study_design_scores_gemma":[0.0003638201,0.0001032018,0.00006802664,0.0001365115,0.000008547583,0.0001521724,0.00003517847,0.005450579,9.976044e-7,0.0000597369,0.9932664,0.0003548413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001726047,0.0001381884,0.01063251,0.0005015954,0.001190694,0.0004997341,0.9829148,0.001362476,0.002742753],"genre_scores_gemma":[0.0002499295,0.0002659199,0.0001874646,0.0001263114,0.0004612539,5.516497e-8,0.9977471,0.0006758175,0.000286141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08763064,"threshold_uncertainty_score":0.9999043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0623447985748459,"score_gpt":0.2748190728085037,"score_spread":0.2124742742336578,"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."}}