{"id":"W4393559611","doi":"10.5281/zenodo.7649174","title":"SuperDARN Grid data in netCDF format (2012-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; Data format; Database; Computer graphics (images); Programming language; Geology; Computer hardware","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":[0.0008591773,0.001155971,0.0009656464,0.002872083,0.0008601086,0.002871,0.00202241,0.001424737,0.2812488],"category_scores_gemma":[0.004608268,0.0007277178,0.001053916,0.005361116,0.0002876768,0.0025146,0.001875571,0.001931214,0.2751986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326418,"about_ca_system_score_gemma":0.001806034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02493616,"about_ca_topic_score_gemma":0.03004368,"domain_scores_codex":[0.9992667,0.00006516977,0.00008056784,0.0001493217,0.0002960952,0.0001421766],"domain_scores_gemma":[0.9980431,0.0002351099,0.0001364046,0.000492974,0.0009332902,0.0001592286],"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":[0.00003948073,0.00001049307,0.000407089,0.0001226527,0.000008950578,0.0000165882,0.00001537832,0.0002380745,0.0001334132,0.0005517268,0.9955451,0.002910963],"study_design_scores_gemma":[0.0000800849,0.000005724657,0.002291907,0.00008708261,0.000007459628,0.0000271029,0.00006686484,0.0003417386,0.0004895612,0.001529355,0.9950518,0.0000212694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002420068,0.0000296612,0.0006007992,0.0001432884,0.0001439906,0.00002697062,0.9897758,0.0027677,0.006269864],"genre_scores_gemma":[0.0009298126,0.00004661767,0.001600831,0.00008679394,0.00002640082,0.00006843027,0.9915623,0.001578639,0.004100128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2812488,"threshold_uncertainty_score":0.9408711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06829567467700845,"score_gpt":0.2752867382683576,"score_spread":0.2069910635913492,"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."}}