{"id":"W7037460637","doi":"","title":"Estimating a Toronto Pedestrian Route Choice Model using Smartphone GPS Data: Itâ s Not the Destination, but the Journey, that Matters","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Global Positioning System; Mixed logit; Discrete choice; Preference; Choice set; Set (abstract data type); Revealed preference; Nested logit","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009518575,0.0007416374,0.0005108645,0.001051762,0.0006899554,0.001317613,0.0008981413,0.0009416026,0.002881088],"category_scores_gemma":[0.00285237,0.0007354579,0.001056007,0.001395217,0.0004942807,0.0006909424,0.0006105853,0.0008015815,0.000511458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00601443,"about_ca_system_score_gemma":0.003481305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4411274,"about_ca_topic_score_gemma":0.4117708,"domain_scores_codex":[0.999476,0.000191523,0.00002087976,0.0001740137,0.00006023654,0.0000773735],"domain_scores_gemma":[0.9989974,0.0006332466,0.0001139125,0.00005314029,0.000131873,0.00007040275],"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":[0.0002454898,0.0001543186,0.08385998,0.0001022644,0.0001771302,0.00029459,0.0004890368,0.892489,0.001008586,0.004842572,0.001458155,0.01487888],"study_design_scores_gemma":[0.00002924074,0.0001023073,0.01916708,0.00001684365,0.00006043954,0.00003720467,0.0003009346,0.97812,0.0002185218,0.001211997,0.0007080167,0.00002750793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480139,0.0001462937,0.04626884,0.0003583373,0.00001856343,0.0001535982,0.002564403,0.0001718639,0.002304272],"genre_scores_gemma":[0.9765612,0.0001587602,0.01784091,0.00002556282,0.00001098082,0.0001530228,0.001912366,0.00001628105,0.003320883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588726,"threshold_uncertainty_score":0.8771195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09687951257379547,"score_gpt":0.3482096636504393,"score_spread":0.2513301510766439,"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."}}