{"id":"W4393728971","doi":"10.5281/zenodo.8274510","title":"SuperDARN Grid data in netCDF format (2016-Jul)","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":[0.0008511364,0.001136056,0.0009175661,0.002674964,0.0008199938,0.002824642,0.001961094,0.001373786,0.267947],"category_scores_gemma":[0.004625475,0.0006843018,0.001033539,0.004857491,0.0003014354,0.002551273,0.001916131,0.001850349,0.2726888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307442,"about_ca_system_score_gemma":0.001807458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463934,"about_ca_topic_score_gemma":0.02975067,"domain_scores_codex":[0.9992828,0.00006402804,0.00008270608,0.0001462023,0.0002885377,0.000135794],"domain_scores_gemma":[0.9980741,0.000224563,0.0001335284,0.0004821054,0.0009283476,0.000157362],"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":[0.00004171503,0.00001050909,0.0004602132,0.0001303065,0.000009373667,0.00001752082,0.00001714895,0.0002518823,0.0001369804,0.0005848152,0.9953722,0.002967294],"study_design_scores_gemma":[0.00007775383,0.000005663564,0.00216945,0.00009468955,0.000007004742,0.00002562956,0.00007126109,0.0003110174,0.0004795819,0.001557491,0.9951804,0.00001998625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002471268,0.00003153301,0.000539769,0.0001471575,0.000160999,0.00002684118,0.9900587,0.002561234,0.006226732],"genre_scores_gemma":[0.001007399,0.00005036214,0.001479964,0.00008880764,0.00002776494,0.00006661886,0.9915982,0.001491942,0.004188966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.267947,"threshold_uncertainty_score":0.8963721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06506134214016189,"score_gpt":0.2738481775619501,"score_spread":0.2087868354217882,"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."}}