{"id":"W6945373895","doi":"10.21949/1501118","title":"U.S. International Travel and Transportation Trends: 2006 Update","year":2011,"lang":"en","type":"report","venue":"ROSA P","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Terrorism; Variety (cybernetics); Air travel; Destinations; Travel behavior","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":[0.001208523,0.0011102,0.0007483549,0.008576544,0.0005571622,0.001794123,0.001092801,0.0008821625,0.01508175],"category_scores_gemma":[0.004157406,0.0004124831,0.0008755327,0.01869562,0.0001462488,0.002291598,0.00103467,0.001326908,0.01201849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616214,"about_ca_system_score_gemma":0.00410106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06871814,"about_ca_topic_score_gemma":0.07062428,"domain_scores_codex":[0.99909,0.00008374068,0.0002293524,0.0001076037,0.0004081022,0.00008110931],"domain_scores_gemma":[0.9952838,0.0002202492,0.0007086385,0.0001654978,0.003360045,0.0002617346],"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":[0.00007255153,0.00007685673,0.01974531,0.001275186,0.00005607374,0.0000479294,0.000108544,0.000307454,0.00006017832,0.0002798009,0.8801237,0.09784625],"study_design_scores_gemma":[0.00002155059,0.00004693746,0.07762077,0.002543219,0.00007271508,0.0002607173,0.0003221393,0.0002679056,0.0001863325,0.0001395731,0.9184917,0.00002657615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00845824,0.02618362,0.001684896,0.004014169,0.003266208,0.0004838991,0.9075806,0.001056147,0.04727228],"genre_scores_gemma":[0.02506611,0.06997515,0.01006983,0.002767566,0.001091176,0.001220528,0.8630951,0.0002672625,0.02644721],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06871814,"threshold_uncertainty_score":0.1366363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815462647382589,"score_gpt":0.2919027857150933,"score_spread":0.2537481592412674,"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."}}