{"id":"W3144513154","doi":"10.1155/2021/8852772","title":"A Numerical Approach to Study Ablation of Large Bolides: Application to Chelyabinsk","year":2021,"lang":"en","type":"article","venue":"Advances in Astronomy","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Ministerio de Ciencia e Innovación; Academy of Finland; Agencia Estatal de Investigación; Ural Federal University; Russian Foundation for Basic Research","keywords":"Meteoroid; Physics; Trajectory; Meteorite; Atmosphere (unit); Ablation; Astrophysics; Astrobiology; Meteorology; Aerospace engineering; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001525165,0.0001092775,0.0001889735,0.00006011879,0.00004335185,0.00001352815,0.0001784503,0.00001202674,0.00007900029],"category_scores_gemma":[0.000005472378,0.0001126337,0.00002727452,0.0005122995,0.00001448661,0.0002470695,0.00005374204,0.00008411963,0.0000435584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001801774,"about_ca_system_score_gemma":0.00004501902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006389701,"about_ca_topic_score_gemma":0.000009481046,"domain_scores_codex":[0.998977,0.00004515046,0.0002514969,0.0003440978,0.0001442743,0.0002379471],"domain_scores_gemma":[0.9995127,0.00003033548,0.0000710712,0.00024961,0.00004197127,0.00009436231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001824998,0.0007227112,0.8054664,0.000004778338,0.00001078316,3.108377e-7,0.0008983656,0.05628945,0.0003214887,0.002519483,0.00001511065,0.1337329],"study_design_scores_gemma":[0.001396793,0.0004062666,0.8976679,0.00003049282,0.00002423025,9.571526e-7,0.0114567,0.006036277,0.004072978,0.0006395532,0.07776359,0.0005042423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2506627,0.00004226484,0.7406892,0.00003242224,0.00004097897,0.0004198078,0.0000239088,0.000007878818,0.008080853],"genre_scores_gemma":[0.931327,3.161298e-7,0.06832226,0.00002900922,0.00007330759,0.0001206433,0.0000758549,0.000005466097,0.00004615747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6806642,"threshold_uncertainty_score":0.4593069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005661953162617495,"score_gpt":0.2675434063201905,"score_spread":0.261881453157573,"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."}}