{"id":"W4393714083","doi":"10.5281/zenodo.7651787","title":"SuperDARN Grid data in netCDF format (2004-Sep)","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); Meteorology; Geology; Geodesy; Programming language; Geography","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":[0.00201106,0.0003267818,0.0003836458,0.0005941886,0.00124066,0.002677473,0.01202118,0.0002071393,0.0007268558],"category_scores_gemma":[0.0007901115,0.0003476299,0.00006453758,0.00173199,0.00009494164,0.0007644148,0.01255718,0.000772704,0.0610747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202595,"about_ca_system_score_gemma":0.00002213809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003602294,"about_ca_topic_score_gemma":0.000008760723,"domain_scores_codex":[0.9961054,0.0006145167,0.0006051125,0.001112305,0.0007869302,0.0007757852],"domain_scores_gemma":[0.995734,0.00007716747,0.0002275728,0.003405146,0.0003219202,0.0002342367],"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":[0.000008518859,0.00008208565,4.809929e-7,0.0001738547,0.00002958168,0.0001037245,0.0001329841,0.0001970412,0.000002885125,0.0002291014,0.9912704,0.007769342],"study_design_scores_gemma":[0.0003780376,0.0001075538,0.00005730172,0.0001557777,0.000008898652,0.0001567332,0.00003559,0.006348338,9.630786e-7,0.00006605218,0.9923246,0.0003601457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001687623,0.0001677706,0.01098749,0.0004785142,0.001184876,0.0005128341,0.9824446,0.001405965,0.002801097],"genre_scores_gemma":[0.0002712759,0.0001889468,0.0001834197,0.0001306875,0.0004616867,5.694588e-8,0.9977404,0.0006814511,0.0003420585],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06034785,"threshold_uncertainty_score":0.9998976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0651228948754644,"score_gpt":0.2761336811126168,"score_spread":0.2110107862371524,"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."}}