{"id":"W4393727650","doi":"10.5281/zenodo.7655247","title":"SuperDARN Grid data in netCDF format (1994-Aug)","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; Grid cell; Computer graphics (images); 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"],"category_scores_codex":[0.0019977,0.0003290274,0.00038568,0.0005975522,0.001268265,0.002765171,0.01219626,0.0002100147,0.00061627],"category_scores_gemma":[0.0006175852,0.000349464,0.00006521414,0.001698853,0.00009518452,0.0007849152,0.01395113,0.0007900334,0.05115879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001857879,"about_ca_system_score_gemma":0.00001980837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003824813,"about_ca_topic_score_gemma":0.000009722973,"domain_scores_codex":[0.9961014,0.0006199945,0.0006093871,0.00111646,0.0007947688,0.0007579764],"domain_scores_gemma":[0.9958543,0.00007953113,0.0002312966,0.003378862,0.0002268399,0.000229191],"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":[0.000008340211,0.00007992631,4.33031e-7,0.0001794866,0.0000301986,0.0000996798,0.0001484751,0.0001575702,0.000003759644,0.0002721747,0.9913455,0.007674411],"study_design_scores_gemma":[0.0003729014,0.0001048518,0.00004741726,0.0001582262,0.000008967906,0.0001531934,0.00003972743,0.007387652,0.000001101141,0.0000693078,0.9912946,0.0003620302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002306683,0.0001178758,0.009084118,0.0004215192,0.001192332,0.0005120781,0.98418,0.001392359,0.003076604],"genre_scores_gemma":[0.0003333335,0.0002051154,0.0001891178,0.0001284247,0.0004695593,5.780935e-8,0.9976621,0.0006897593,0.0003224947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05054252,"threshold_uncertainty_score":0.9998958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07144180025541959,"score_gpt":0.2792133253032885,"score_spread":0.2077715250478689,"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."}}