{"id":"W2059457987","doi":"10.1002/atr.5670420305","title":"Modelling rain effects on risk‐taking behaviours of multi‐user classes in road networks with uncertainty","year":2008,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China University of Mining and Technology; Hong Kong Polytechnic University","keywords":"Travel time; Reliability (semiconductor); Path (computing); Variational inequality; Function (biology); Computer science; Logit; Econometrics; Transport engineering; Operations research; Simulation; Mathematical optimization; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001820712,0.0005856577,0.0006346349,0.0005120185,0.0003309538,0.0009187703,0.001153374,0.001096807,0.001369451],"category_scores_gemma":[0.007208812,0.0005409446,0.0007452917,0.0004884884,0.0008217691,0.001569802,0.001228629,0.0009213739,0.0001144582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153888,"about_ca_system_score_gemma":0.0005174729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973062,"about_ca_topic_score_gemma":0.008943527,"domain_scores_codex":[0.9989855,0.0004920269,0.00003151317,0.0001289505,0.0001334468,0.0002284435],"domain_scores_gemma":[0.9945992,0.004060569,0.0007232581,0.0001699995,0.0002866966,0.0001602619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006531486,0.00003056578,0.006755554,0.00001034803,0.00003088146,0.0001069744,0.0001006652,0.9874815,0.0004283831,0.003076966,0.00006191582,0.001850874],"study_design_scores_gemma":[0.000003113203,0.00002209103,0.001436707,0.000001443991,0.000008180777,0.00001103101,0.0000375995,0.9971933,0.0001061461,0.001141119,0.00003351273,0.000005860325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587017,0.0001006351,0.1393661,0.0001822443,0.00001240285,0.00004050015,0.0001097215,0.00005081199,0.001435932],"genre_scores_gemma":[0.9979511,0.00003322782,0.001477925,0.000006918047,0.000004339794,0.00001585872,0.00002262158,0.000004217865,0.0004839569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973062,"threshold_uncertainty_score":0.03923154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861309034518019,"score_gpt":0.284392951440231,"score_spread":0.2657798610950508,"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."}}