{"id":"W4393551118","doi":"10.5281/zenodo.7648004","title":"SuperDARN Grid data in netCDF format (2014-Jul)","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; Computer science; Grid; Data format; Database; Computer graphics (images); Programming language; Geology; Computer hardware","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":[0.002082041,0.0003238272,0.0003786187,0.0005806565,0.001229168,0.002684651,0.01223315,0.0002074827,0.0008417996],"category_scores_gemma":[0.0006689028,0.000341931,0.00006390378,0.00135911,0.00009483736,0.0007616868,0.01369539,0.000772125,0.091663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800092,"about_ca_system_score_gemma":0.00002054641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003573406,"about_ca_topic_score_gemma":0.000008752439,"domain_scores_codex":[0.9961192,0.0006356277,0.000595106,0.001122875,0.0007768251,0.0007503537],"domain_scores_gemma":[0.9956397,0.00007808112,0.000232735,0.003505818,0.0003140772,0.0002296292],"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":[0.000008449593,0.00007682377,4.780099e-7,0.0001756711,0.00002909796,0.00009206667,0.0001329442,0.0001328297,0.000003127956,0.0002746265,0.9924542,0.006619674],"study_design_scores_gemma":[0.0003642469,0.0001028432,0.00006778476,0.0001369287,0.000008667711,0.0001518036,0.00003578647,0.006281784,9.060018e-7,0.00006701242,0.9924266,0.0003555797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000161436,0.0001396909,0.01157372,0.0005089512,0.001193094,0.0005056381,0.9818856,0.001367807,0.002809318],"genre_scores_gemma":[0.0002957116,0.0002752242,0.0001904963,0.0001245019,0.0004632734,5.520201e-8,0.9976779,0.0006781978,0.0002946449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0908212,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06153696583063755,"score_gpt":0.2738589713540617,"score_spread":0.2123220055234241,"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."}}