{"id":"W6906958846","doi":"10.1890/090066\"&gt;10.1890/090066&lt;/a&gt","title":"Migratory Canada geese cause crash of US Airways Flight 1549","year":2009,"lang":"en","type":"article","venue":"Smithsonian Digital Repository (Smithsonian Institution)","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crash; Population; Aviation; Air travel; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000217249,0.0003245184,0.0003541822,0.0001830328,0.001023678,0.0003749045,0.0005878194,0.0002094073,0.00004862307],"category_scores_gemma":[0.0003364798,0.0003352884,0.000202356,0.0004793329,0.0005420904,0.001638038,0.00004297171,0.0002788271,0.00005413269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416845,"about_ca_system_score_gemma":0.004430893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1757883,"about_ca_topic_score_gemma":0.4419408,"domain_scores_codex":[0.9966661,0.0001105115,0.0007267627,0.0005011502,0.001383377,0.0006121219],"domain_scores_gemma":[0.9981182,0.00009047615,0.0003990411,0.000424314,0.0005629264,0.0004051058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000489627,0.0002281226,0.8058016,0.00002054003,0.00007481651,0.0002060159,0.0008619893,0.000167907,0.00002637781,0.1810472,0.005445135,0.006071346],"study_design_scores_gemma":[0.0004477686,0.0001331385,0.928766,0.0001552453,0.00004130283,0.00003329528,0.0003999955,0.00004392388,0.00273588,0.0009648555,0.06578504,0.0004935742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7498401,0.0001528675,0.0002249298,0.001150525,0.001622089,0.0003594598,0.0001200784,0.0001572522,0.2463727],"genre_scores_gemma":[0.9883608,0.00002744953,0.0001534668,0.000499017,0.0007254909,0.00001391275,0.000001421178,0.00002041396,0.01019798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661525,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006550766605270849,"score_gpt":0.2314767730821477,"score_spread":0.2249260064768768,"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."}}