{"id":"W2918904080","doi":"10.58940/2374-6793.1283","title":"Assessing the risks: An analysis of wildlife-strike data at the three busiest Brazilian airports (2011-2016)","year":2018,"lang":"en","type":"article","venue":"International Journal of Aviation Aeronautics and Aerospace","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Quarter (Canadian coin); Geography; Aviation; Statistical analysis; Socioeconomics; Demography; Engineering; Archaeology; Statistics; Economics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001445463,0.0004130575,0.0003509555,0.003209122,0.0004169949,0.0007968856,0.0003059807,0.0003449614,0.0005024904],"category_scores_gemma":[0.004538968,0.0001701895,0.0007328885,0.00292307,0.0002506447,0.0005807357,0.0007078956,0.0003290046,0.0001365843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009515813,"about_ca_system_score_gemma":0.0008745015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06056435,"about_ca_topic_score_gemma":0.08662592,"domain_scores_codex":[0.9992223,0.0001155085,0.0001540725,0.0001136518,0.0002933132,0.0001012775],"domain_scores_gemma":[0.9966023,0.0007842147,0.001528796,0.0001570003,0.0007317004,0.0001960253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004131652,0.00002849572,0.9906473,0.00006976623,0.00008082033,0.0001597378,0.0007694344,0.0006103054,0.0005152028,0.00006999769,0.0001960155,0.006811615],"study_design_scores_gemma":[0.00000136571,0.00005801113,0.9959661,0.00003588686,0.00002789381,0.000165496,0.001846717,0.0007700516,0.0001286752,0.00002996758,0.0009622262,0.000007728151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964703,0.0002581078,0.0002897891,0.00005597922,0.000004693403,0.00003139811,0.001963273,0.00000664789,0.0009197277],"genre_scores_gemma":[0.9955351,0.0003973994,0.0005347436,0.00001339184,0.000006252275,0.00002984671,0.003236902,0.000002771109,0.0002435545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06056435,"threshold_uncertainty_score":0.1204236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644611088223899,"score_gpt":0.5142581022052146,"score_spread":0.3497969933828248,"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."}}