{"id":"W13596017","doi":"","title":"Could avian radar have prevented US Airways Flight 1549’s bird strike?","year":2009,"lang":"it","type":"article","venue":"Archivio Italiano di Anatomia e Istologia Patologica","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Radar; Aviation safety; Wildlife; Aviation; Situation awareness; Engineering; Telecommunications; Ecology; Biology","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":[0.001058521,0.0002123742,0.0001564032,0.0002625989,0.001021639,0.001043795,0.0003116543,0.001199408,0.003691857],"category_scores_gemma":[0.003701481,0.0001258867,0.000196885,0.0001810414,0.0007156105,0.0009447212,0.0005693796,0.0009693344,0.0007802719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007878814,"about_ca_system_score_gemma":0.0008875964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02570544,"about_ca_topic_score_gemma":0.04860505,"domain_scores_codex":[0.9996364,0.00008184261,0.00001769714,0.00004850207,0.00009480229,0.0001205671],"domain_scores_gemma":[0.9989409,0.0003235833,0.0001735413,0.0001008292,0.0003578755,0.0001033219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001586889,0.000437269,0.2807023,0.0005916944,0.0001584499,0.007210237,0.006528154,0.006211678,0.02984372,0.0214566,0.07161935,0.5736538],"study_design_scores_gemma":[0.0002662581,0.004171562,0.4049542,0.001075645,0.0002830138,0.008484525,0.03231846,0.01636827,0.0344275,0.01152812,0.4858704,0.0002520546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8056269,0.006832869,0.018448,0.05882538,0.004603866,0.0001283622,0.0003388543,0.0003488422,0.104847],"genre_scores_gemma":[0.9816338,0.001934958,0.004856639,0.002316822,0.0003174844,0.00001458126,0.0001469385,0.00001379575,0.008764981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02570544,"threshold_uncertainty_score":0.0511117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892598282950709,"score_gpt":0.2545413566887064,"score_spread":0.2356153738591993,"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."}}