{"id":"W4393641296","doi":"10.5281/zenodo.7652291","title":"SuperDARN Grid data in netCDF format (2002-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; Computer science; Grid; Computer graphics (images); Database; Programming language; Geology","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":[0.002010984,0.0003267054,0.0003796594,0.000588355,0.001244523,0.002688049,0.01206836,0.000208351,0.001081031],"category_scores_gemma":[0.0007687198,0.0003472599,0.00006253114,0.001714706,0.00009361252,0.0007543497,0.01323791,0.000782512,0.08493575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836916,"about_ca_system_score_gemma":0.00002076684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003337567,"about_ca_topic_score_gemma":0.000008951921,"domain_scores_codex":[0.9961061,0.0006173351,0.0006033313,0.001110061,0.0007879686,0.0007751955],"domain_scores_gemma":[0.9957535,0.0000747361,0.0002279957,0.003385546,0.0003242162,0.0002339722],"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":[0.000008036763,0.00008139161,3.334547e-7,0.0001733356,0.0000289837,0.00009973182,0.0001367346,0.0001543725,0.00000279862,0.0002462345,0.9918657,0.007202372],"study_design_scores_gemma":[0.0003722742,0.0001042787,0.00006047856,0.0001507521,0.000008663225,0.0001545758,0.00003765663,0.007420647,8.903451e-7,0.00004867522,0.9912816,0.0003594608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001333392,0.0001390762,0.01083325,0.0004860972,0.001173167,0.0005119761,0.9813669,0.00137675,0.004099438],"genre_scores_gemma":[0.0002327442,0.0002174969,0.0001972181,0.0001276541,0.0004615966,5.526744e-8,0.9975888,0.0006820722,0.0004923821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08385473,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06618063526994805,"score_gpt":0.2743466299290079,"score_spread":0.2081659946590598,"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."}}