{"id":"W4411951801","doi":"10.4050/f-0081-2025-0395","title":"Lessons Learned from the Analysis of North American Vertical Lift Accident and Incident Occurrence Data: Review of Civil Operations (2000 to 2024)","year":2025,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada); National Research Council Canada","funders":"","keywords":"Lift (data mining); Aeronautics; Accident (philosophy); Computer science; Engineering; Computer security; Data mining","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":[0.03155718,0.0005281392,0.0009060765,0.01343267,0.0008949716,0.006003172,0.001731565,0.001299907,0.0009866871],"category_scores_gemma":[0.07313409,0.0006201929,0.0009965954,0.01694686,0.001681498,0.005807874,0.001206335,0.001885193,0.000292345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006410736,"about_ca_system_score_gemma":0.02146591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1444542,"about_ca_topic_score_gemma":0.3096962,"domain_scores_codex":[0.9872954,0.004622812,0.00274032,0.001119774,0.003831819,0.0003898986],"domain_scores_gemma":[0.8579496,0.06578362,0.008600314,0.002655865,0.06310502,0.00190551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000650622,0.0001019051,0.05357927,0.02127077,0.0004341927,0.0005997616,0.0118285,0.001300929,0.0005700876,0.003978191,0.08457778,0.8216935],"study_design_scores_gemma":[0.00001487231,0.0002154526,0.1799047,0.04467335,0.0005021575,0.0007992576,0.02873028,0.0009417656,0.0006496394,0.00213189,0.7413024,0.0001342745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03104091,0.8879315,0.002352688,0.06772473,0.002789123,0.0001193334,0.001804346,0.00008351627,0.006153892],"genre_scores_gemma":[0.1664868,0.8084512,0.01020282,0.008625431,0.002296579,0.0001784734,0.002002479,0.00007421381,0.001682041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1444542,"threshold_uncertainty_score":0.2872267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691543308587307,"score_gpt":0.3157378026490039,"score_spread":0.2788223695631308,"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."}}