{"id":"W2141331411","doi":"10.1061/(asce)te.1943-5436.0000493","title":"AHP-Based Approach for Location Planning of Pedestrian Zones: Application in Montréal, Canada","year":2012,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Analytic hierarchy process; Pedestrian; Downtown; Transport engineering; Computer science; Operations research; Site selection; Environmental planning; Geography; Engineering; Political science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001797423,0.001258423,0.0007537169,0.001979539,0.003281738,0.002032039,0.001785465,0.000918495,0.005251094],"category_scores_gemma":[0.002931163,0.0005191012,0.0009457131,0.005099792,0.0008377095,0.0005282487,0.0009903829,0.000592469,0.0002839946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0276657,"about_ca_system_score_gemma":0.02695282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9677399,"about_ca_topic_score_gemma":0.9695563,"domain_scores_codex":[0.99913,0.0002940554,0.00003800708,0.00009635212,0.0002446751,0.0001970574],"domain_scores_gemma":[0.9987336,0.0004722463,0.00005900675,0.00003791928,0.0005584556,0.000138747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002800671,0.0001906412,0.007552491,0.0004371156,0.0001164523,0.000847311,0.0004485837,0.9103956,0.001332191,0.007159824,0.005535217,0.06570455],"study_design_scores_gemma":[0.00008618877,0.00007216687,0.004803684,0.00004592379,0.00004680357,0.00003190987,0.0009441512,0.9867807,0.0006447852,0.001352296,0.005133396,0.00005790001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6018749,0.003095946,0.3196055,0.002038202,0.0002602524,0.003806368,0.007041316,0.00181389,0.06046361],"genre_scores_gemma":[0.8309901,0.0014428,0.1507705,0.00009876516,0.00002318817,0.0006369558,0.001885997,0.00009448697,0.01405725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03226006,"threshold_uncertainty_score":0.2007296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316099690573529,"score_gpt":0.2421513296990193,"score_spread":0.228990332793284,"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."}}