{"id":"W2592665023","doi":"","title":"Farley-Buneman Waves at Large Aspect Angles","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Physics; Computer science; Acoustics","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":[0.0002323656,0.0007374268,0.0005590016,0.0005570055,0.0007891926,0.001577057,0.0003383374,0.0009658055,0.003546512],"category_scores_gemma":[0.001487496,0.0003424245,0.0003168898,0.0006754292,0.0005329225,0.001550715,0.000942695,0.001476496,0.0005682441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004082497,"about_ca_system_score_gemma":0.0002791513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761233,"about_ca_topic_score_gemma":0.003228372,"domain_scores_codex":[0.9998102,0.00003177224,0.000005348268,0.0000342495,0.00005999314,0.00005857134],"domain_scores_gemma":[0.9996228,0.000141045,0.00003896351,0.00004348144,0.00008071963,0.00007303755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002409052,0.0004924137,0.06043425,0.000366642,0.0003007216,0.004965222,0.00304506,0.1150751,0.2972494,0.3343283,0.03037181,0.150962],"study_design_scores_gemma":[0.000556449,0.0003272175,0.1937338,0.0001293612,0.00009020278,0.002316151,0.002273942,0.5559375,0.04391656,0.172502,0.02787117,0.0003457503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533314,0.001335304,0.03685813,0.001674651,0.0004271615,0.00005904041,0.0004214774,0.0004748347,0.105418],"genre_scores_gemma":[0.9892763,0.0002634057,0.003208862,0.0001305446,0.00007897071,0.00002048703,0.0002352974,0.00007396529,0.00671219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003546512,"threshold_uncertainty_score":0.01186424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283876024221965,"score_gpt":0.2316934595208908,"score_spread":0.2088546992786711,"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."}}