{"id":"W2347069314","doi":"10.1002/atr.1360","title":"Integrated optimization of location and signal timings for midblock pedestrian crosswalk","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Schema crosswalk; Pedestrian; Computer science; Transport engineering; 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":[0.000817486,0.001103385,0.001028564,0.0009692222,0.0007142393,0.001337814,0.001079638,0.001212453,0.004270438],"category_scores_gemma":[0.001078104,0.0006877263,0.0007790865,0.000836533,0.0005057949,0.0008699827,0.001140529,0.000878185,0.0003857226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758425,"about_ca_system_score_gemma":0.002776528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01852632,"about_ca_topic_score_gemma":0.01619396,"domain_scores_codex":[0.9995282,0.0001390778,0.00001197235,0.00009116467,0.00005930688,0.0001703063],"domain_scores_gemma":[0.999435,0.000180072,0.00009034033,0.00002857738,0.0001329271,0.0001330945],"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":[0.0000698614,0.00004255126,0.0007614705,0.00002237466,0.00001561883,0.00005320652,0.00001807016,0.9917555,0.0009992535,0.001334803,0.0002348652,0.004692525],"study_design_scores_gemma":[0.00001182702,0.00008634917,0.0005323116,0.000004297568,0.00001256387,0.00001159204,0.00004855395,0.9978856,0.0004444783,0.0006709553,0.0002843479,0.000007024506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3988749,0.0002999935,0.5896127,0.0002308424,0.00006781159,0.0002453151,0.0003801657,0.0003762424,0.009912048],"genre_scores_gemma":[0.9527891,0.00009007517,0.04260369,0.0000248759,0.000006852724,0.00009576626,0.0001902171,0.00002777082,0.004171567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01852632,"threshold_uncertainty_score":0.03683698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601037160384755,"score_gpt":0.3022301694751315,"score_spread":0.276219797871284,"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."}}