{"id":"W4399848456","doi":"10.54648/aila2023022","title":"Thinking Outside the Black Box: The Legal Status of Emerging Flight Recorder Technologies in Canada","year":2023,"lang":"en","type":"article","venue":"Air and Space Law","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black box; Aeronautics; Engineering; Computer science; Artificial intelligence","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":[0.009511756,0.0003743598,0.0003992624,0.002904203,0.0218126,0.01832614,0.004553681,0.00649743,0.0051723],"category_scores_gemma":[0.02446944,0.0005971692,0.0006965983,0.003928751,0.01466716,0.004239263,0.003847431,0.007274944,0.0005022414],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1633715,"about_ca_system_score_gemma":0.3233526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918399,"about_ca_topic_score_gemma":0.9931385,"domain_scores_codex":[0.9761878,0.001199901,0.0007559016,0.002201896,0.01539558,0.004258921],"domain_scores_gemma":[0.9580727,0.01350676,0.002135733,0.001235761,0.02058311,0.00446591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001785467,0.0001806762,0.02920888,0.0004809283,0.00005487407,0.004308917,0.04651487,0.001109284,0.004351505,0.6652948,0.09100294,0.1573137],"study_design_scores_gemma":[0.00007142202,0.0001357528,0.06410449,0.001813436,0.0001446996,0.0014455,0.04401367,0.003402196,0.003140713,0.02483936,0.8563731,0.0005156765],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2661839,0.02063331,0.009303533,0.2464892,0.001298764,0.00035074,0.00149752,0.0004171801,0.4538258],"genre_scores_gemma":[0.8619509,0.01297701,0.006924523,0.04281106,0.0002253149,0.00008968308,0.0005064867,0.000149125,0.07436588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1633715,"threshold_uncertainty_score":0.9703705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009969928501661805,"score_gpt":0.2611343836929482,"score_spread":0.2511644551912864,"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."}}