{"id":"W4393624420","doi":"10.5281/zenodo.7651533","title":"SuperDARN Grid data in netCDF format (2007-Sep)","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; Geology; 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":[0.002089206,0.0003248429,0.0003784763,0.0005731806,0.001229882,0.002700192,0.01202954,0.0002063377,0.0009836778],"category_scores_gemma":[0.0008116317,0.0003463761,0.00006369325,0.001541495,0.00009352555,0.0007799594,0.01331251,0.0007728565,0.07434548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001921553,"about_ca_system_score_gemma":0.00002119529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003727998,"about_ca_topic_score_gemma":0.000007196343,"domain_scores_codex":[0.9961091,0.0006115394,0.0006066163,0.001105985,0.0007909946,0.0007757687],"domain_scores_gemma":[0.9957603,0.00007976515,0.0002288351,0.003367096,0.0003283749,0.0002356768],"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":[0.000008429946,0.00008021856,5.098908e-7,0.0001714078,0.00002924884,0.0001045456,0.0001276222,0.000145033,0.000002218192,0.0002434937,0.9928875,0.006199797],"study_design_scores_gemma":[0.0003634247,0.0001062588,0.00006978436,0.000153127,0.000008766893,0.0001548732,0.0000373758,0.006414956,7.272798e-7,0.00006141792,0.9922711,0.0003581976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000160978,0.000139205,0.01006779,0.0004259723,0.001525021,0.0005106313,0.9822502,0.001386997,0.003678044],"genre_scores_gemma":[0.0002083714,0.0002298638,0.0001930492,0.0001421156,0.0005848619,5.502111e-8,0.997615,0.000680201,0.0003464245],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0733618,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06409361638575287,"score_gpt":0.2765587516184936,"score_spread":0.2124651352327407,"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."}}