{"id":"W2115853254","doi":"","title":"U.S. and Canada Maneuvers","year":2008,"lang":"en","type":"article","venue":"Offline data","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Geography; Environmental science; Meteorology; Oceanography","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":[0.0002305892,0.001129716,0.0005704204,0.003934987,0.001465106,0.001299422,0.001007273,0.0004376365,0.01478853],"category_scores_gemma":[0.002053871,0.0002473609,0.0004439629,0.01123581,0.0003484503,0.0006160364,0.0007005041,0.0008561597,0.008864302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006246096,"about_ca_system_score_gemma":0.01360905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9717212,"about_ca_topic_score_gemma":0.9818375,"domain_scores_codex":[0.9991146,0.00002608106,0.00002607636,0.0001161467,0.0005521032,0.0001650795],"domain_scores_gemma":[0.9975476,0.00006384656,0.0001355241,0.0001474442,0.001942424,0.0001632215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001265873,0.00004649382,0.02653313,0.00009510244,0.00005364098,0.00007477073,0.0001355089,0.003413035,0.0002158837,0.001953934,0.9401026,0.02724933],"study_design_scores_gemma":[0.0000497552,0.0000332411,0.1763166,0.000206141,0.00006410634,0.0001727641,0.001025028,0.008964335,0.002127311,0.001036255,0.8099012,0.0001032037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01776254,0.0002386519,0.0006432677,0.0001953343,0.00007185034,0.0000544956,0.9487152,0.0007402438,0.03157851],"genre_scores_gemma":[0.05278993,0.0004030108,0.001299112,0.00009842871,0.00001909618,0.00005614056,0.9281518,0.0001415189,0.01704111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02827877,"threshold_uncertainty_score":0.05689055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216363652481666,"score_gpt":0.1837126713289405,"score_spread":0.1620763060807739,"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."}}