{"id":"W4393655386","doi":"10.5281/zenodo.7651519","title":"SuperDARN Grid data in netCDF format (2007-Nov)","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; Computer graphics (images); 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":[0.0008779403,0.001102747,0.0009101901,0.002963694,0.0008562261,0.002774742,0.002049542,0.001417287,0.2497919],"category_scores_gemma":[0.004213835,0.0007271258,0.0009945683,0.005422649,0.0002801639,0.002397888,0.001720492,0.001962558,0.2442336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498544,"about_ca_system_score_gemma":0.002066113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02900832,"about_ca_topic_score_gemma":0.03358432,"domain_scores_codex":[0.9992583,0.00006171429,0.00007856967,0.0001411985,0.0003167331,0.0001433676],"domain_scores_gemma":[0.9978636,0.0002288792,0.0001483727,0.0005296828,0.001059818,0.0001697624],"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":[0.00004098218,0.00001082877,0.000422746,0.00009894697,0.000007892439,0.00001650293,0.00001372699,0.0002374248,0.0001274771,0.0005692613,0.9957327,0.002721473],"study_design_scores_gemma":[0.00007471794,0.000005611937,0.002596888,0.00007826767,0.000006545839,0.00002828122,0.00006278983,0.0003239112,0.0005287216,0.001324012,0.9949496,0.00002064161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002639019,0.00002630743,0.0005311203,0.0001347385,0.0001467328,0.00002579897,0.9898808,0.002139895,0.006850706],"genre_scores_gemma":[0.000811329,0.00003835447,0.001445799,0.00007682339,0.00002273342,0.00005687847,0.9924183,0.001195817,0.003934046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2497919,"threshold_uncertainty_score":0.8356372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06420399241803124,"score_gpt":0.2760685305088584,"score_spread":0.2118645380908271,"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."}}