{"id":"W1591093734","doi":"","title":"Sources of Information in Intelligent Transportation Systems: A Bibliography","year":2001,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terminology; Intelligent transportation system; Bibliography; Library science; Information system; Term (time); Advanced Traffic Management System; Intelligent decision support system; Operations research; Transport engineering; Computer science; Engineering; Artificial intelligence","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003074263,0.001232604,0.001388003,0.02703195,0.001919065,0.01067025,0.001802485,0.002442289,0.02189877],"category_scores_gemma":[0.009444057,0.0009826453,0.000855579,0.06207138,0.001525238,0.01498889,0.003318983,0.002361927,0.01083173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00332807,"about_ca_system_score_gemma":0.004985355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003579083,"about_ca_topic_score_gemma":0.003893441,"domain_scores_codex":[0.9969016,0.0006247086,0.0006693592,0.0002967395,0.00140963,0.0000979161],"domain_scores_gemma":[0.9943801,0.003130579,0.0002910259,0.0005095987,0.001523117,0.0001656394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002175397,0.00005943648,0.0005358686,0.008214102,0.00006369808,0.0002998388,0.001871194,0.001558402,0.0004088863,0.1082437,0.2979383,0.5807848],"study_design_scores_gemma":[0.000004219477,0.000005444851,0.0003491782,0.00694875,0.00003186437,0.0001710471,0.0003576811,0.0003099621,0.0001571836,0.02647322,0.9651729,0.00001845806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001256959,0.6876041,0.05433773,0.01221153,0.003798733,0.0002623337,0.00684227,0.001292673,0.2323937],"genre_scores_gemma":[0.01516405,0.8639567,0.06480062,0.002622867,0.002613157,0.0004383406,0.01408828,0.001030729,0.03528526],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.972968,"threshold_uncertainty_score":0.0732587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430120378426949,"score_gpt":0.210401907227326,"score_spread":0.1961007034430565,"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."}}