{"id":"W7125709645","doi":"10.1784/cm2025.1e3","title":"Assessing RPAS safety and reliability: a Canadian system safety analysis framework","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"System safety; Observability; Reliability (semiconductor); Fault tree analysis; Work (physics); Key (lock); Failure mode and effects analysis; Air traffic control","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004648131,0.002349612,0.0006161865,0.006302312,0.001881204,0.004784756,0.003324396,0.0009243683,0.003264],"category_scores_gemma":[0.008715355,0.0006237371,0.001145914,0.00265274,0.002670987,0.002172636,0.002587221,0.001629471,0.0005469937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02070119,"about_ca_system_score_gemma":0.04270062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7401039,"about_ca_topic_score_gemma":0.6690878,"domain_scores_codex":[0.9940995,0.001178209,0.0002121291,0.0004897988,0.003478572,0.0005418149],"domain_scores_gemma":[0.9937137,0.001091025,0.0005462551,0.0003501032,0.004063959,0.0002349735],"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":[0.00005594798,0.00006808593,0.004398984,0.0002103372,0.00009783023,0.000190777,0.0004224908,0.6607605,0.003147835,0.2408672,0.005610467,0.08416957],"study_design_scores_gemma":[0.00001472307,0.00006794199,0.003308604,0.00008965804,0.00007376068,0.00005930659,0.000255168,0.9351779,0.001664693,0.04077842,0.01842995,0.0000799119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0155443,0.0006621511,0.9364498,0.001311481,0.00005596704,0.0005257282,0.001149817,0.001217879,0.04308276],"genre_scores_gemma":[0.5081201,0.001339654,0.4771241,0.0001832493,0.00007357013,0.0005172854,0.001349675,0.0002609922,0.01103141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2598961,"threshold_uncertainty_score":0.5228534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029910483936401,"score_gpt":0.2551448190051993,"score_spread":0.2448457141658353,"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."}}