{"id":"W2002818663","doi":"10.3141/2299-15","title":"Analysis of Pedestrian Travel with Static Bluetooth Sensors","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bluetooth; Pedestrian; Transport engineering; Computer science; Sustainability; Sample (material); Travel behavior; Group cohesiveness; Engineering; Telecommunications; Wireless","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":[0.0002430437,0.0003269522,0.0002588446,0.001984096,0.0002949315,0.000365928,0.0002439842,0.0002408458,0.001418143],"category_scores_gemma":[0.0008799499,0.0001542858,0.0002817272,0.001630126,0.0001513663,0.0002575913,0.00023868,0.000114798,0.0003910204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986356,"about_ca_system_score_gemma":0.0002706311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282832,"about_ca_topic_score_gemma":0.01640136,"domain_scores_codex":[0.9997728,0.00004974531,0.00001139552,0.00004073443,0.00008520899,0.00004005283],"domain_scores_gemma":[0.9996074,0.0001038548,0.00004511972,0.00003465347,0.0001812976,0.00002770226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001638298,0.000430629,0.6661456,0.0004872286,0.0003062946,0.001510879,0.001497836,0.07963204,0.04026295,0.002070785,0.004563747,0.2014537],"study_design_scores_gemma":[0.00002565407,0.0009038758,0.7336937,0.00003730926,0.0001195461,0.00124332,0.001777331,0.2485281,0.01021198,0.0008713179,0.002532903,0.00005495896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979525,0.00009562092,0.01497545,0.00003328806,0.00001342334,0.00005056589,0.001356131,0.0001775487,0.003772888],"genre_scores_gemma":[0.9947785,0.0000748622,0.003645692,0.000007809768,0.000005083329,0.00002067614,0.0005153337,0.000009256622,0.0009427093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01282832,"threshold_uncertainty_score":0.02550733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1082264206092251,"score_gpt":0.4177196042794903,"score_spread":0.3094931836702652,"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."}}