{"id":"W4393644894","doi":"10.5281/zenodo.7651566","title":"SuperDARN Grid data in netCDF format (2007-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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.002149134,0.0003245778,0.0003782586,0.000572667,0.001225404,0.00269381,0.01204081,0.0002090161,0.001000301],"category_scores_gemma":[0.0008422,0.0003460586,0.00006239394,0.001555864,0.00009407739,0.00077124,0.01355335,0.0007787719,0.0735469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943891,"about_ca_system_score_gemma":0.00002138639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004357739,"about_ca_topic_score_gemma":0.000008502089,"domain_scores_codex":[0.9961066,0.0006207053,0.0006057617,0.001102031,0.000790221,0.0007746395],"domain_scores_gemma":[0.9957642,0.00008256957,0.0002292149,0.003358733,0.0003299939,0.0002352949],"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":[0.000008713548,0.00007894758,4.813098e-7,0.0001753665,0.00002924586,0.0001032227,0.0001184614,0.0001359275,0.000002187499,0.0001859041,0.9909636,0.008197921],"study_design_scores_gemma":[0.0003608954,0.0001029563,0.00005751718,0.0001552109,0.00000867866,0.0001423261,0.00003581826,0.007539077,6.811468e-7,0.00005874562,0.9911804,0.0003576553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001290012,0.0001435195,0.01166967,0.0005051263,0.001534912,0.0005098663,0.9805057,0.001343549,0.003774768],"genre_scores_gemma":[0.0001801538,0.0002499974,0.00021999,0.0001388179,0.0005736417,5.440932e-8,0.9975953,0.0006788406,0.0003631763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0725466,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031055921424436,"score_gpt":0.2736903946295953,"score_spread":0.2133798354153509,"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."}}