{"id":"W4408815758","doi":"10.2139/ssrn.5172331","title":"Design for Safety in Emergency Landing","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Civil Aviation Organization","funders":"","keywords":"Aeronautics; Business; Engineering; Computer science","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":[0.0009964743,0.0009786502,0.0005441186,0.0004548944,0.0005472135,0.001029573,0.000777056,0.0009800185,0.01151556],"category_scores_gemma":[0.001978748,0.0004206334,0.0004976288,0.0001608635,0.0005364523,0.0007288494,0.001262777,0.0006376086,0.002523917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257779,"about_ca_system_score_gemma":0.0006386163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007098581,"about_ca_topic_score_gemma":0.0006302531,"domain_scores_codex":[0.9992846,0.0002550193,0.00003683419,0.0001078377,0.0002236674,0.00009210018],"domain_scores_gemma":[0.9991934,0.0001807553,0.00009092518,0.0001014477,0.0003779704,0.0000555594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007300633,0.0002161922,0.002298601,0.0007378267,0.000104722,0.0003795786,0.0005598943,0.6128874,0.06653769,0.06870068,0.005679363,0.241168],"study_design_scores_gemma":[0.0001151208,0.001007063,0.0008403497,0.0001040187,0.00007649023,0.0001903069,0.0002640566,0.922879,0.01213306,0.04433111,0.01803138,0.00002799667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01442813,0.000138406,0.9751484,0.0002088954,0.00008350977,0.00008941792,0.0000334497,0.0002910267,0.009578731],"genre_scores_gemma":[0.7849355,0.0003311642,0.1909522,0.0002382204,0.00009024078,0.0003876947,0.0001398037,0.0002394302,0.02268575],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01151556,"threshold_uncertainty_score":0.03852338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162592163680951,"score_gpt":0.3219109998114031,"score_spread":0.2902850781745936,"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."}}