{"id":"W632409268","doi":"","title":"Michigan proposes raising tolls up to 85% at Blue Water Bridge crossing to Canada","year":2009,"lang":"en","type":"article","venue":"Transport topics","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Raising (metalworking); Transport engineering; Engineering; Truck; Forensic engineering; Civil engineering; Business; Automotive engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001003476,0.0002551281,0.0003109503,0.0001245069,0.0004048134,0.0002052656,0.0002679776,0.00006265635,0.0001789877],"category_scores_gemma":[0.000003719582,0.0002212609,0.00008577821,0.0001608665,0.0000364874,0.0003349439,0.0000212593,0.0000947815,0.0001335037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000885817,"about_ca_system_score_gemma":0.00008976681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.231867,"about_ca_topic_score_gemma":0.7624897,"domain_scores_codex":[0.998437,0.000001820429,0.0003997429,0.0003475838,0.0001763859,0.0006374192],"domain_scores_gemma":[0.999559,0.000003693848,0.00004785849,0.0002702724,0.00004920762,0.00006989471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001192551,0.0003746203,0.7409804,0.001252105,0.0002897167,0.000833046,0.04806561,0.01164728,0.06370094,0.01003158,0.03996986,0.08166229],"study_design_scores_gemma":[0.0002737031,0.00001144287,0.3507985,0.00004742633,0.00003847878,0.000002811198,0.00009323549,0.00001346393,0.007849113,0.0001454978,0.6403304,0.0003960128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825807,0.00001740173,0.0002656291,0.0119211,0.0008483318,0.0003320791,0.00001561747,0.0001236015,0.003895591],"genre_scores_gemma":[0.976247,0.000001255103,0.0001028851,0.01641084,0.001229769,0.000005835039,0.0000789933,0.00002724164,0.005896206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6003605,"threshold_uncertainty_score":0.9022756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024581826341209,"score_gpt":0.2180006884367988,"score_spread":0.1977548701733867,"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."}}