{"id":"W629165325","doi":"","title":"SWISSAIR 111: A NEEDLE FOUND IN A HAYSTACK","year":2003,"lang":"en","type":"article","venue":"Air line pilot","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haystack; Aeronautics; Engineering; Transport engineering; Environmental science; Computer science; World Wide Web","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":[0.0002678866,0.0005808519,0.0002074089,0.0005644062,0.01734722,0.002445103,0.0006087692,0.00620794,0.086151],"category_scores_gemma":[0.001242845,0.0003127115,0.0003770629,0.0004665491,0.001699911,0.001738252,0.001881706,0.005824685,0.01939404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004654118,"about_ca_system_score_gemma":0.004363231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2272421,"about_ca_topic_score_gemma":0.5293708,"domain_scores_codex":[0.9997038,0.00002298163,0.00000919078,0.00002877862,0.00009391651,0.0001413338],"domain_scores_gemma":[0.9997009,0.00004150025,0.00002186311,0.00001506935,0.0001017528,0.0001190103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000398589,0.00002239907,0.001658555,0.00002424574,0.000004635164,0.006802456,0.002691568,0.00003392124,0.0004779961,0.009381586,0.9694056,0.009457209],"study_design_scores_gemma":[0.00001204215,0.00004656273,0.005526407,0.0001393788,0.0000123117,0.00530596,0.01124996,0.0001881566,0.0005088903,0.002546022,0.9744378,0.00002646431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03406022,0.002102118,0.001209765,0.1966779,0.007615548,0.00007863018,0.001763399,0.001085263,0.7554072],"genre_scores_gemma":[0.105851,0.001085863,0.0005905136,0.04719821,0.001047409,0.00003200447,0.0008337729,0.0002182941,0.8431429],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2272421,"threshold_uncertainty_score":0.4518387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127572285232031,"score_gpt":0.3241440020090978,"score_spread":0.2828682791567775,"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."}}