{"id":"W4320493463","doi":"10.3390/drones7020127","title":"Towards a Quantitative Approach for Determining DAA System Risk Ratio","year":2023,"lang":"en","type":"article","venue":"Drones","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Aviation; Rulemaking; Systems engineering; Aeronautics; Risk analysis (engineering); Operations research; Engineering; Aerospace engineering; Business","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":[0.009936034,0.001968766,0.001168321,0.004530689,0.0007006687,0.004576051,0.002432479,0.001442047,0.003373889],"category_scores_gemma":[0.02685725,0.0007939935,0.001354988,0.001602023,0.001743126,0.004165429,0.003204557,0.003056323,0.0007103092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917944,"about_ca_system_score_gemma":0.002115002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002984288,"about_ca_topic_score_gemma":0.002013439,"domain_scores_codex":[0.9896561,0.004227792,0.0005156892,0.000793531,0.004488624,0.000318297],"domain_scores_gemma":[0.9856665,0.008785621,0.001310451,0.001269432,0.002769868,0.0001981308],"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":[0.00004058689,0.00007663081,0.00183348,0.0002164237,0.00007792514,0.000124419,0.0002157051,0.6855237,0.003925444,0.2581833,0.001783951,0.04799854],"study_design_scores_gemma":[0.000008385242,0.00007270126,0.0008253923,0.00008907935,0.00002053038,0.000116315,0.0001518495,0.8918256,0.001826997,0.09954179,0.005466108,0.00005520691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003561676,0.0001497213,0.9910454,0.0001857094,0.0000211603,0.00004947593,0.00008509029,0.0001400225,0.004761772],"genre_scores_gemma":[0.4107542,0.0008769001,0.5834954,0.0001871206,0.0001246126,0.00044816,0.0004558333,0.0003020744,0.003355711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009936034,"threshold_uncertainty_score":0.0525474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372065889886108,"score_gpt":0.237609051194001,"score_spread":0.2138883922951399,"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."}}