{"id":"W4393467686","doi":"10.5281/zenodo.7652498","title":"SuperDARN Grid data in netCDF format (2000-Oct)","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); Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008384702,0.001102204,0.0008830387,0.00285499,0.0008085188,0.002705961,0.00196461,0.001407032,0.2822937],"category_scores_gemma":[0.004068279,0.0007017202,0.0009565281,0.005277793,0.0002811763,0.002400326,0.001765943,0.001825186,0.2711428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296426,"about_ca_system_score_gemma":0.00173711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02374561,"about_ca_topic_score_gemma":0.02696568,"domain_scores_codex":[0.9993222,0.0000581671,0.00006994751,0.000138392,0.0002795242,0.0001318466],"domain_scores_gemma":[0.998018,0.0002202504,0.000135984,0.0005078469,0.0009541211,0.0001637135],"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":[0.0000492945,0.00001170668,0.0004625522,0.0001174179,0.000008423312,0.00001901803,0.00001693707,0.0002676209,0.0001735504,0.0006129977,0.9947248,0.003535649],"study_design_scores_gemma":[0.00008097203,0.000006453729,0.00243689,0.00008128833,0.000006904876,0.00002806384,0.00006779301,0.0003712944,0.0006016039,0.00155111,0.9947467,0.00002081933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003034974,0.00002875126,0.0007468157,0.0001428147,0.0001432152,0.00003140353,0.9874651,0.003185751,0.007952739],"genre_scores_gemma":[0.001186144,0.00004397072,0.001858125,0.00009519974,0.00002754327,0.00007025964,0.9901248,0.001763686,0.004830091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2822937,"threshold_uncertainty_score":0.9443665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06340780842818447,"score_gpt":0.2739885037333087,"score_spread":0.2105806953051243,"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."}}