{"id":"W4393843025","doi":"10.5281/zenodo.7652438","title":"SuperDARN Grid data in netCDF format (2001-Mar)","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; Grid cell; Computer graphics (images); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009185208,0.00109309,0.000888413,0.003142843,0.0007923975,0.002832981,0.002059833,0.001456858,0.2432421],"category_scores_gemma":[0.004628743,0.0007005442,0.0009342729,0.006134722,0.0002490553,0.002280794,0.001547237,0.001937872,0.2326242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447715,"about_ca_system_score_gemma":0.00181288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02746514,"about_ca_topic_score_gemma":0.02902441,"domain_scores_codex":[0.9992577,0.00006721871,0.00008369215,0.0001463795,0.0003110566,0.00013386],"domain_scores_gemma":[0.9977289,0.0002652037,0.0001810541,0.0005702025,0.001079986,0.0001747095],"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":[0.00005098324,0.00001238309,0.0004906778,0.0001160868,0.000009017393,0.00002022299,0.00001653432,0.0002946973,0.0001504707,0.0006419839,0.9948431,0.00335386],"study_design_scores_gemma":[0.00007732213,0.000005932217,0.002810126,0.00007903666,0.00000703382,0.00002869868,0.00006144906,0.0003617142,0.0005080062,0.001283717,0.9947571,0.00002005519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003056822,0.0000289436,0.0005815139,0.0001479584,0.0001347259,0.00002664618,0.9895802,0.002195206,0.006999148],"genre_scores_gemma":[0.001044909,0.00004129517,0.001564214,0.00007502783,0.00002422955,0.00006152599,0.9915461,0.001218239,0.004424498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2432421,"threshold_uncertainty_score":0.8137259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07278856982076835,"score_gpt":0.2796620026118423,"score_spread":0.206873432791074,"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."}}