{"id":"W3144728929","doi":"10.1080/23249935.2021.1908443","title":"Modeling lateral interactions between motorized vehicles and non-motorized vehicles in mixed traffic using accelerated failure duration model","year":2021,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Traffic control and management","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Duration (music); Automotive engineering; Computer science; Transport engineering; Engineering; Physics; Acoustics","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":[0.001800492,0.001270832,0.001017953,0.001623106,0.000592274,0.001419872,0.002326237,0.001515695,0.00345083],"category_scores_gemma":[0.003417321,0.0008748414,0.001674262,0.0007743901,0.0008158067,0.00145304,0.001625529,0.001279387,0.0004326667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137575,"about_ca_system_score_gemma":0.001320342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04398356,"about_ca_topic_score_gemma":0.02150961,"domain_scores_codex":[0.9991916,0.0001751221,0.00003762968,0.0002057729,0.0001209153,0.0002689627],"domain_scores_gemma":[0.9977884,0.000987859,0.0005652489,0.00008029651,0.0003436549,0.0002345457],"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":[0.00009040323,0.00006083654,0.0210424,0.00003265896,0.0001010777,0.0002483465,0.0001023417,0.9698197,0.0005999365,0.00472531,0.0002452398,0.002931598],"study_design_scores_gemma":[0.000005837205,0.00003233317,0.00193544,0.000005148619,0.00002233832,0.00002163065,0.00003790683,0.9967083,0.00005847945,0.0009885296,0.00017616,0.000007919392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837099,0.0005487051,0.157435,0.0003115177,0.00007676084,0.00009854746,0.0009218456,0.0002006319,0.003308103],"genre_scores_gemma":[0.9916579,0.0001493838,0.003263831,0.0000203887,0.0000250307,0.00008296443,0.0004384024,0.00002050915,0.004341503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04398356,"threshold_uncertainty_score":0.08745509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934801974266132,"score_gpt":0.2468692841556796,"score_spread":0.2175212644130183,"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."}}