{"id":"W4393668255","doi":"10.5281/zenodo.7652612","title":"SuperDARN Grid data in netCDF format (1999-Oct)","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; Geology; Computer graphics (images); Database; 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":[0.002021851,0.0003301211,0.0003860813,0.0005966989,0.001265795,0.002768304,0.01232433,0.0002099138,0.0005909565],"category_scores_gemma":[0.0007322334,0.0003500318,0.00006564242,0.001706696,0.00009496359,0.0007774015,0.01392503,0.0007932406,0.06407689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929274,"about_ca_system_score_gemma":0.00002085871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004206259,"about_ca_topic_score_gemma":0.000009482466,"domain_scores_codex":[0.9960834,0.000630145,0.0006121704,0.00112174,0.0007962071,0.0007563121],"domain_scores_gemma":[0.9957602,0.000080061,0.0002316664,0.003397939,0.0002996594,0.000230442],"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":[0.000008408409,0.0000792738,4.747588e-7,0.0001807871,0.00003007663,0.0001007236,0.0001519558,0.0001385154,0.000003643344,0.0002637702,0.9913597,0.007682631],"study_design_scores_gemma":[0.0003765334,0.0001067244,0.00006369812,0.000159045,0.000008908964,0.0001495347,0.00004065377,0.006808134,0.000001074347,0.00006459627,0.9918582,0.0003629381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000220904,0.0001516801,0.008718166,0.0004846273,0.001187103,0.0005423837,0.9845886,0.001412955,0.00289237],"genre_scores_gemma":[0.000324039,0.000240603,0.0001834469,0.0001279962,0.0004665616,6.0167e-8,0.9976808,0.000686688,0.0002897668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06348593,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06830078603369381,"score_gpt":0.2778293511666752,"score_spread":0.2095285651329813,"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."}}