{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001423699,0.00007904165,0.00009756025,0.00008467521,0.00007386792,0.00003200619,0.00006352016,0.00003174364,0.000003034748],"category_scores_gemma":[0.00002028258,0.00007778925,0.00003293332,0.0001826332,0.000008107024,0.00009459117,0.00001339778,0.00003060704,0.00002515487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002201229,"about_ca_system_score_gemma":0.000003763435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003130191,"about_ca_topic_score_gemma":0.000002588519,"domain_scores_codex":[0.9995688,0.00001096092,0.0001139135,0.0001056283,0.00006727507,0.0001333874],"domain_scores_gemma":[0.999823,0.00003537791,0.00002378971,0.00008187253,0.00001758758,0.00001835073],"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":[0.000005105001,0.000003792241,0.0001178943,0.0003538743,0.00004364674,9.866245e-7,0.001136628,0.9821544,0.00001849606,0.007416636,0.002182711,0.006565793],"study_design_scores_gemma":[0.000181837,0.00002094461,0.0003791558,0.00001481422,0.00002521633,2.567342e-7,0.00198283,0.9965382,0.00006851884,0.00002174083,0.0006707629,0.00009572693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0177277,0.00004571754,0.9726561,0.00001003745,0.0002310891,0.0003128056,0.00001456443,0.00106839,0.007933615],"genre_scores_gemma":[0.9358551,0.00003405475,0.06333033,0.000003185209,0.00005617081,0.0001715123,0.0001404725,0.00002969707,0.00037947],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9181274,"threshold_uncertainty_score":0.3172154,"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."}}