{"id":"W6931128426","doi":"10.5281/zenodo.4009471","title":"SuperDARN/pyDARNio: pyDARNio v1.0","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Process (computing); Action (physics); Product (mathematics); Identification (biology)","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":[0.002113338,0.002282765,0.001116343,0.002003709,0.0008965908,0.004243996,0.002564316,0.001305685,0.2743213],"category_scores_gemma":[0.003978363,0.001600272,0.001380416,0.002854921,0.0005673033,0.004496531,0.003349368,0.003082711,0.3392115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159097,"about_ca_system_score_gemma":0.001964757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008210151,"about_ca_topic_score_gemma":0.005573497,"domain_scores_codex":[0.9991072,0.0001858519,0.00004310445,0.0001370969,0.0003946919,0.0001320209],"domain_scores_gemma":[0.9986534,0.0001598875,0.000117238,0.0004569014,0.0004062091,0.0002062791],"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":[0.0001658906,0.00001266017,0.0003659339,0.0002321047,0.00002079882,0.00004183313,0.00003564948,0.0009365433,0.0006614605,0.009538886,0.9645532,0.0234352],"study_design_scores_gemma":[0.00005672878,0.00001127018,0.0005092368,0.00008788086,0.000006367878,0.0000725339,0.00001203355,0.001082999,0.001285035,0.007213879,0.9896272,0.00003480354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.00193838,0.001806197,0.06782262,0.001946119,0.001900949,0.0002778463,0.3146247,0.1869571,0.4227261],"genre_scores_gemma":[0.02093408,0.001711517,0.07496848,0.001381481,0.0007484898,0.0007966516,0.4460962,0.2994886,0.1538745],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2743213,"threshold_uncertainty_score":0.9176962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662157731519653,"score_gpt":0.2064302654263488,"score_spread":0.1498086881111522,"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."}}