{"id":"W2602528845","doi":"10.1139/juvs-2016-0033","title":"Reported UAV incidents in Canada: analysis and potential solutions","year":2017,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Transport Canada; National Aeronautics and Space Administration","keywords":"Aeronautics; Civil aviation; Altitude (triangle); Aviation; Aviation safety; Geography; Environmental science; Meteorology; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001136464,0.0006012107,0.0003964223,0.00738383,0.002103914,0.002372638,0.001479425,0.0005374882,0.001685631],"category_scores_gemma":[0.006019049,0.0003485587,0.0007901309,0.01503776,0.0006072478,0.0006449524,0.001321803,0.0006581901,0.0003063316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03296435,"about_ca_system_score_gemma":0.05039312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991146,"about_ca_topic_score_gemma":0.9937589,"domain_scores_codex":[0.997607,0.0001355069,0.0002199652,0.0002846707,0.001078796,0.0006741001],"domain_scores_gemma":[0.9939246,0.0004525186,0.001021701,0.00009908069,0.004014968,0.0004872069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007622914,0.00005423683,0.9517756,0.0003768655,0.0001076715,0.0003896689,0.001593143,0.001676179,0.0003405014,0.0007926909,0.007616552,0.03520071],"study_design_scores_gemma":[0.000007219675,0.00003100499,0.9734432,0.0002899265,0.00008224273,0.000233143,0.01047024,0.004099578,0.0003277693,0.0001736196,0.0108016,0.00004052299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207088,0.006978831,0.003133952,0.003258755,0.0001091612,0.0004710377,0.04736939,0.0002198714,0.01775011],"genre_scores_gemma":[0.9708555,0.005699515,0.003117777,0.0003330729,0.00002732577,0.0000984584,0.01726114,0.0000246058,0.002582599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03296435,"threshold_uncertainty_score":0.2391742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137053893237695,"score_gpt":0.2020798967598011,"score_spread":0.1907093578274242,"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."}}