{"id":"W2002238061","doi":"10.3141/2256-10","title":"Future Scenarios for Traffic Information and Management","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Regret; Risk analysis (engineering); Transport engineering; Computer science; Process management; Operations research; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001929554,0.0008064013,0.0002633613,0.001244271,0.001731417,0.003129888,0.001223537,0.002129256,0.009829224],"category_scores_gemma":[0.003307895,0.0002857216,0.0008474495,0.001508709,0.001223304,0.003755603,0.00208871,0.001751515,0.0007611985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00360317,"about_ca_system_score_gemma":0.001787869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004762544,"about_ca_topic_score_gemma":0.009077802,"domain_scores_codex":[0.9976935,0.001637455,0.00007578101,0.0001419657,0.0002700969,0.0001812144],"domain_scores_gemma":[0.9985552,0.0006955197,0.0001349126,0.0001215825,0.0002781104,0.000214762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009245783,0.0001215586,0.001521908,0.0001964508,0.00002701099,0.0009383303,0.0009952427,0.1466276,0.0006966445,0.8248458,0.007175079,0.01676193],"study_design_scores_gemma":[0.00005109772,0.0001605522,0.001602499,0.0003866606,0.0000340982,0.0005729193,0.006613891,0.1956815,0.001017867,0.6278005,0.165958,0.0001204085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1306296,0.002478009,0.5412194,0.01267457,0.0004560739,0.001580753,0.00311475,0.0004268154,0.30742],"genre_scores_gemma":[0.7228745,0.002584374,0.2548447,0.0003702922,0.00007325018,0.001649954,0.002250609,0.00005055147,0.01530184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009829224,"threshold_uncertainty_score":0.03288203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08537183044919099,"score_gpt":0.3709179685180203,"score_spread":0.2855461380688293,"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."}}