{"id":"W4393449402","doi":"10.5281/zenodo.7652837","title":"SuperDARN Grid data in netCDF format (1997-May)","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); Programming language; Geology; 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":[0.00084539,0.001035364,0.0008110953,0.003274683,0.0007602862,0.002666809,0.001963003,0.001133898,0.2467495],"category_scores_gemma":[0.004037004,0.0006489658,0.0008072362,0.007105927,0.0002359137,0.002086709,0.001424027,0.00165109,0.2130462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689868,"about_ca_system_score_gemma":0.002215234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979062,"about_ca_topic_score_gemma":0.03755099,"domain_scores_codex":[0.9993175,0.00005556842,0.00007343124,0.0001214462,0.000308605,0.0001234722],"domain_scores_gemma":[0.9978518,0.0002171169,0.0001668896,0.0004734003,0.001121015,0.0001697035],"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":[0.00005349989,0.00001089868,0.0005148438,0.00009468619,0.000008145378,0.00001960358,0.00001645158,0.0002648433,0.0001149097,0.0006942041,0.994793,0.003414922],"study_design_scores_gemma":[0.00006832549,0.000005009181,0.00294386,0.00007207435,0.000006175152,0.00002564108,0.00007023347,0.000267124,0.0004380595,0.001122175,0.9949649,0.00001646943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003110998,0.00002878395,0.0004691774,0.000134336,0.0001303404,0.0000240828,0.9897935,0.001569562,0.007539145],"genre_scores_gemma":[0.0009937251,0.00004585174,0.001289954,0.00006163892,0.00002353671,0.000057803,0.9917797,0.0009589423,0.004788695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2467495,"threshold_uncertainty_score":0.8254593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07297670458017114,"score_gpt":0.2828371871314988,"score_spread":0.2098604825513277,"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."}}