{"id":"W811539953","doi":"","title":"SMART SPEED - RESULTS FROM THE LARGE SCALE FIELD TRIAL ON INTELLIGENT SPEED ADAPTATION IN UME, SWEDEN","year":2001,"lang":"en","type":"article","venue":"8th World Congress on Intelligent Transport SystemsITS America, ITS Australia, ERTICO (Intelligent Transport Systems and Services - Europe)","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field trial; Task (project management); Adaptation (eye); Field (mathematics); Speed limit; Scale (ratio); Flashing; Transport engineering; Simulation; Computer science; Engineering; Aeronautics; Geography; Psychology; Cartography; Mathematics","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":[0.002107929,0.0005783177,0.0006769139,0.0006282583,0.0007399184,0.0008158832,0.0006811484,0.001018731,0.002447147],"category_scores_gemma":[0.003432632,0.0002120036,0.0003768877,0.0005418559,0.0006442402,0.0007261418,0.0007330578,0.0006443718,0.0009890717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008274087,"about_ca_system_score_gemma":0.0009323086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01823608,"about_ca_topic_score_gemma":0.021895,"domain_scores_codex":[0.9988517,0.0003326991,0.00006049392,0.0001618787,0.000363944,0.0002294229],"domain_scores_gemma":[0.9974334,0.0008343667,0.0001218442,0.0002859457,0.0008891755,0.0004353579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01902569,0.04839699,0.1116775,0.001760548,0.0006239945,0.004182528,0.009020211,0.1601894,0.02157419,0.006354275,0.06321007,0.5539846],"study_design_scores_gemma":[0.007068962,0.06706209,0.58666,0.0003799086,0.0004504079,0.001022309,0.01788253,0.1208314,0.03688058,0.005241402,0.1560978,0.0004225541],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855189,0.0002223189,0.00180161,0.0002951264,0.00006289905,0.0004446616,0.001168209,0.0001764038,0.01030987],"genre_scores_gemma":[0.9826791,0.0002830152,0.002217689,0.00009863406,0.00003783712,0.0002463566,0.003323821,0.00004853103,0.01106495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01823608,"threshold_uncertainty_score":0.03625983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04029254181251753,"score_gpt":0.262709526519405,"score_spread":0.2224169847068875,"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."}}