{"id":"W3210533271","doi":"10.5281/zenodo.3978643","title":"SuperDARN/pydarn: pyDARN v1.1.0 Release","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003238565,0.002352759,0.001329654,0.001547166,0.0009488834,0.0032452,0.004534259,0.001323749,0.2358283],"category_scores_gemma":[0.01050455,0.002585215,0.001788637,0.001304651,0.0008249399,0.006129061,0.004397486,0.004346864,0.2666503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747781,"about_ca_system_score_gemma":0.002154968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006224805,"about_ca_topic_score_gemma":0.003854761,"domain_scores_codex":[0.9981675,0.0001985583,0.0001006706,0.0003732895,0.0008653759,0.0002945832],"domain_scores_gemma":[0.9960129,0.0004813861,0.0002142939,0.001448851,0.00141106,0.0004314854],"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":[0.0003506484,0.00002680835,0.0006056652,0.0002224527,0.00002392151,0.00005757977,0.0000692271,0.0003130676,0.002288796,0.003503393,0.9673581,0.02518042],"study_design_scores_gemma":[0.0001581575,0.00004374249,0.001298318,0.0000931863,0.00002092468,0.0001795103,0.00002716341,0.001988511,0.009165488,0.004231429,0.9826943,0.00009929512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001841567,0.0003263299,0.04429673,0.0006578967,0.0008715907,0.0001552289,0.0484382,0.8390393,0.06437307],"genre_scores_gemma":[0.02005866,0.0003953448,0.04722223,0.001130015,0.0002721137,0.0004827188,0.1551066,0.7018795,0.07345287],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2358283,"threshold_uncertainty_score":0.7889243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212632270358025,"score_gpt":0.2318143176604567,"score_spread":0.1896879949568764,"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."}}