{"id":"W4393825916","doi":"10.5281/zenodo.7652955","title":"SuperDARN Grid data in netCDF format (1996-Jan)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.00203061,0.0003300581,0.0003856965,0.0005944237,0.001260166,0.002690424,0.01230537,0.0002094196,0.0005585914],"category_scores_gemma":[0.0007224014,0.0003499172,0.00006562097,0.001707437,0.00009576471,0.0007980869,0.01384426,0.0007923199,0.06349603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018642,"about_ca_system_score_gemma":0.00002011953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004392507,"about_ca_topic_score_gemma":0.00001287946,"domain_scores_codex":[0.9960759,0.0006305798,0.0006097772,0.001131741,0.0007962845,0.0007557533],"domain_scores_gemma":[0.9957658,0.00007923984,0.000231665,0.003393702,0.0002992592,0.0002303089],"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":[0.000008507213,0.00008003924,6.065727e-7,0.0001786962,0.00003011241,0.0001012098,0.0001572203,0.000131251,0.000003565523,0.0002633332,0.991313,0.007732446],"study_design_scores_gemma":[0.0003735171,0.0001077501,0.00008783683,0.0001584654,0.000008830912,0.0001532957,0.0000428496,0.006597122,0.00000103714,0.00006845024,0.9920378,0.0003630901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000254983,0.0001285704,0.00803878,0.0004973421,0.001207336,0.0005182346,0.9852418,0.001386075,0.002956337],"genre_scores_gemma":[0.000424682,0.0002039418,0.0001862666,0.0001283416,0.0004684212,5.708696e-8,0.9976191,0.0006878851,0.0002813175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06293744,"threshold_uncertainty_score":0.9998953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06963427364575113,"score_gpt":0.2781594317976281,"score_spread":0.208525158151877,"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."}}