{"id":"W2525633492","doi":"","title":"Traffic Data： Bluetooth Sensors vs. Crowdsourcing——A Comparative Study to Calculate Travel Time Reliability in Calgary, Alberta, Canada","year":2015,"lang":"en","type":"article","venue":"Acta Scientiarum Naturalium Universitatis Sunyatseni","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Bluetooth; Reliability (semiconductor); Computer science; Transport engineering; Engineering; Telecommunications; World Wide Web; Wireless","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":[0.001996961,0.0006780621,0.0006173439,0.00281095,0.001491454,0.002033099,0.002215892,0.0007260698,0.001213394],"category_scores_gemma":[0.005963756,0.0004439883,0.0004972094,0.007507656,0.0008765178,0.0007246082,0.0006855126,0.0006073149,0.0004183835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01834548,"about_ca_system_score_gemma":0.01158753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860306,"about_ca_topic_score_gemma":0.9864266,"domain_scores_codex":[0.9984776,0.0002126693,0.00007534252,0.0002488605,0.0007506528,0.0002348315],"domain_scores_gemma":[0.9945374,0.001225957,0.0003659434,0.0002202932,0.003345256,0.0003051427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002239407,0.0005749475,0.8327609,0.0004980211,0.0007405619,0.0005713435,0.00369643,0.06205397,0.002659145,0.00202267,0.006774434,0.08540814],"study_design_scores_gemma":[0.00008331699,0.0002529324,0.8982345,0.0000991749,0.0002227872,0.000111939,0.006742588,0.08830925,0.001194174,0.0002873897,0.004373057,0.00008885691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922388,0.0005712194,0.001323712,0.0001510671,0.00002347265,0.0000819741,0.002140471,0.00009505127,0.003374248],"genre_scores_gemma":[0.9934634,0.000322651,0.001736572,0.00003414587,0.00001052259,0.00002111084,0.00229824,0.000024802,0.002088601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01834548,"threshold_uncertainty_score":0.1331064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638708461039494,"score_gpt":0.2824183393599969,"score_spread":0.256031254749602,"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."}}