{"id":"W4394036271","doi":"10.5281/zenodo.7655262","title":"SuperDARN Grid data in netCDF format (1994-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; 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":[0.002023723,0.0003285264,0.0003846963,0.0005967011,0.001256815,0.002716243,0.01225599,0.0002095882,0.0006305032],"category_scores_gemma":[0.0006479668,0.0003489747,0.00006567971,0.001691148,0.00009552758,0.0007640666,0.01415843,0.0007873771,0.05055834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881898,"about_ca_system_score_gemma":0.00001953184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004123113,"about_ca_topic_score_gemma":0.0000108334,"domain_scores_codex":[0.9961027,0.0006284882,0.0006107432,0.001113513,0.0007928615,0.0007517245],"domain_scores_gemma":[0.9958603,0.00008350777,0.0002317997,0.003369615,0.0002264092,0.00022832],"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":[0.00000866842,0.00007979835,4.819996e-7,0.0001823489,0.0000301501,0.0001000374,0.0001396765,0.0001400055,0.000003495403,0.0002048515,0.9902623,0.008848244],"study_design_scores_gemma":[0.0003681125,0.0001051147,0.00004686178,0.0001583453,0.000008869167,0.0001417195,0.00003835503,0.008238482,9.603926e-7,0.0000651111,0.9904668,0.0003612499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001884738,0.0001172947,0.01005755,0.0004918565,0.001199931,0.0005146323,0.9830139,0.001363538,0.003222437],"genre_scores_gemma":[0.0003131921,0.0002125671,0.0002114605,0.0001267512,0.0004593334,5.813244e-8,0.9976809,0.0006870656,0.0003086941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04992783,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06807232247124834,"score_gpt":0.2772072471650392,"score_spread":0.2091349246937909,"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."}}