{"id":"W4393720776","doi":"10.5281/zenodo.7652638","title":"SuperDARN Grid data in netCDF format (1999-May)","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); Meteorology; Database; Geology; Geodesy; Operating system; Geography","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":[0.001988806,0.0003290705,0.0003846256,0.000612618,0.001243308,0.002711736,0.0122507,0.0002094602,0.0005879013],"category_scores_gemma":[0.000746441,0.0003489692,0.00006540875,0.001745075,0.00009746115,0.0007717867,0.01379998,0.0007874421,0.06261697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836764,"about_ca_system_score_gemma":0.0000205617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137798,"about_ca_topic_score_gemma":0.00001041388,"domain_scores_codex":[0.9961035,0.0006319035,0.0006072919,0.001117284,0.0007878402,0.000752212],"domain_scores_gemma":[0.9957833,0.00008110626,0.000230693,0.003378847,0.0002967688,0.0002293192],"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":[0.000008523371,0.00007944456,5.467363e-7,0.0001793416,0.00002994638,0.0000980611,0.0001405179,0.0001395479,0.000002773352,0.0002996721,0.9896691,0.009352552],"study_design_scores_gemma":[0.0003688081,0.0001064643,0.00005441407,0.000158995,0.000008887761,0.0001397738,0.00003850934,0.005876239,0.000001217487,0.00006116854,0.9928233,0.0003622207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001979805,0.0001432478,0.008077929,0.0005710749,0.001199396,0.000516157,0.9847122,0.001410468,0.003349667],"genre_scores_gemma":[0.0004073973,0.0002345732,0.0001839719,0.0001259527,0.000455901,5.788184e-8,0.9975737,0.0006911837,0.00032729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06202906,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07141650806767301,"score_gpt":0.2818028956916696,"score_spread":0.2103863876239965,"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."}}