{"id":"W4282835617","doi":"10.1002/essoar.10511596.1","title":"Velocity of SuperDARN echoes at intermediate radar ranges","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Preprint; Electronic mail; Email authentication; World Wide Web; Computer science; Computer security","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":[0.0003400215,0.0001828918,0.0001577237,0.0008269476,0.000149575,0.0004087969,0.0001822034,0.0002160778,0.000640195],"category_scores_gemma":[0.0009445534,0.00008572186,0.0001018873,0.0004809753,0.0001677525,0.0003730002,0.0002746023,0.000259287,0.0001589837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130868,"about_ca_system_score_gemma":0.0001461222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002088768,"about_ca_topic_score_gemma":0.003322067,"domain_scores_codex":[0.999782,0.00002187492,0.00001577741,0.00006759426,0.00006107273,0.0000517978],"domain_scores_gemma":[0.9993526,0.0001772732,0.0002312888,0.00004728848,0.000107398,0.00008416787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004622035,0.00009908686,0.8677397,0.00005399794,0.00006304822,0.0004997898,0.0005794377,0.004407241,0.08366454,0.0006423788,0.000241478,0.04154706],"study_design_scores_gemma":[0.000006606679,0.0000957078,0.98839,0.00000742699,0.00001453921,0.0001983878,0.000182789,0.003759584,0.006568486,0.00007307834,0.0006878264,0.00001557555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997052,0.00009168722,0.001453159,0.000008628397,0.000004585961,0.00000327877,0.0001219324,0.00002397657,0.001240751],"genre_scores_gemma":[0.9990189,0.00002262199,0.0006219738,0.00000361286,0.00000335252,0.000001693883,0.0001851757,0.000004593676,0.0001380113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002088768,"threshold_uncertainty_score":0.004153252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644998183956181,"score_gpt":0.2204393619343074,"score_spread":0.2039893800947456,"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."}}