{"id":"W3216795403","doi":"10.32920/ryerson.14658024.v1","title":"Overload Detection/Health Monitoring Landing Gear Sensor System Proposal","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Landing gear; Aisle; Flight plan; Service (business); Aeronautics; Engineering; Automotive engineering; Plan (archaeology); Computer science; Marine engineering; Real-time computing; Aerospace engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003106356,0.0003364287,0.0005957153,0.0001227272,0.0001217944,0.000333921,0.0001800682,0.0003090792,0.000009500365],"category_scores_gemma":[0.000007190683,0.0003396897,0.0001835383,0.0001103629,0.000007171245,0.00006111938,0.0001647582,0.00069225,0.00002655625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009093253,"about_ca_system_score_gemma":0.0001240807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104151,"about_ca_topic_score_gemma":0.0001741648,"domain_scores_codex":[0.9982519,0.00007847644,0.0005218583,0.0004067022,0.0003005087,0.0004406048],"domain_scores_gemma":[0.9991552,0.00002530566,0.0001105231,0.0004726596,0.00007816016,0.0001581728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000359603,0.00008555433,0.01336386,0.03110321,0.002273771,0.0004197171,0.002659951,0.8321899,0.05182957,0.001935547,0.0001884905,0.06391449],"study_design_scores_gemma":[0.0003129379,0.00002081892,0.001276046,0.001325279,0.00002941966,0.00006990131,0.002095302,0.9932058,0.000949193,0.000006403872,0.0002301959,0.0004786569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7913646,0.004059362,0.1672166,0.0001166848,0.01917143,0.001614854,0.00006820066,0.004252107,0.01213626],"genre_scores_gemma":[0.997104,0.0001079621,0.001038816,0.000004524754,0.001175434,0.000106447,0.00001748834,0.00009511974,0.0003502057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2057395,"threshold_uncertainty_score":0.9999055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500522187583084,"score_gpt":0.2148274149958297,"score_spread":0.2063268928082467,"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."}}