{"id":"W4393578508","doi":"10.5281/zenodo.7652274","title":"SuperDARN Grid data in netCDF format (2002-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; Computer graphics (images); Geology; Geodesy; Operating system","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":[0.0008015957,0.001027182,0.0008263667,0.002969633,0.00073216,0.002580595,0.001862935,0.001274346,0.2284849],"category_scores_gemma":[0.004078163,0.0006411655,0.0008528198,0.005942711,0.0002227931,0.001992809,0.001345747,0.001658728,0.2140803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430123,"about_ca_system_score_gemma":0.001787793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03084958,"about_ca_topic_score_gemma":0.03048944,"domain_scores_codex":[0.9993619,0.00005599206,0.00007108947,0.0001244269,0.000272459,0.0001140958],"domain_scores_gemma":[0.9979786,0.0002229414,0.0001509628,0.0004821026,0.001010791,0.0001546578],"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":[0.00005017094,0.00001225615,0.0005017355,0.0001049521,0.000008678452,0.00001971724,0.00001535879,0.0002772261,0.0001431095,0.0006243955,0.9948231,0.003419158],"study_design_scores_gemma":[0.0000789388,0.000005756202,0.003149547,0.00007402471,0.000007172104,0.00002964417,0.00006244073,0.0003801509,0.0005395709,0.001339613,0.994314,0.00001920263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003025499,0.00002645778,0.0005528075,0.0001342266,0.0001207394,0.00002379399,0.9900709,0.00203772,0.006730834],"genre_scores_gemma":[0.001009635,0.00003815764,0.001365055,0.00006871363,0.00002159421,0.00005338185,0.9921533,0.001032372,0.00425778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2284849,"threshold_uncertainty_score":0.7643583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06692834834258708,"score_gpt":0.2758011817684602,"score_spread":0.2088728334258731,"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."}}