{"id":"W2101337197","doi":"10.5194/amt-7-777-2014","title":"Odin–OSIRIS detection of the Chelyabinsk meteor","year":2014,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Space Agency; Tekes; Centre National d’Etudes Spatiales","keywords":"Osiris; Meteor (satellite); Altitude (triangle); Meteoroid; Environmental science; Stratosphere; Satellite; Remote sensing; Atmosphere (unit); Spectrograph; Polar; Atmospheric sciences; Meteorology; Geology; Physics; Astrobiology; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006533549,0.0001218519,0.000141899,0.000002750739,0.0001165509,0.00001588423,0.0002999153,0.00002832575,0.0001357139],"category_scores_gemma":[0.00001826435,0.00008194815,0.0000933573,0.0002186757,0.00006918061,0.00008934633,0.00004110715,0.0001022701,0.000009117402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002287775,"about_ca_system_score_gemma":0.00002864427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004409961,"about_ca_topic_score_gemma":0.00001318377,"domain_scores_codex":[0.9989316,0.00009296531,0.0002034393,0.0001755782,0.0004259837,0.000170381],"domain_scores_gemma":[0.9993439,0.00002011437,0.0001588974,0.0003352647,0.0001022008,0.00003961515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001193603,0.00008265404,0.1001105,0.00001555004,0.00004768032,5.757217e-8,0.0001051956,0.00003509756,0.4274224,0.001439926,0.0009762203,0.4697528],"study_design_scores_gemma":[0.0001370831,0.0001711042,0.06236688,0.00004766744,0.00004446877,5.69917e-7,0.0000595317,0.001515395,0.8962082,0.001362355,0.03788809,0.0001986308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3349225,0.00008456809,0.6277942,0.0001763393,0.0003379654,0.0006573813,0.000007472345,0.0002052519,0.03581431],"genre_scores_gemma":[0.9897021,0.000001340887,0.009990784,0.00004868325,0.00009457857,0.00002649913,0.000001354756,0.000007556401,0.0001271262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6547796,"threshold_uncertainty_score":0.3341749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062314039014941,"score_gpt":0.1894405406265606,"score_spread":0.1788174002364112,"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."}}