{"id":"W2498040910","doi":"10.4018/978-1-59904-885-7.ch125","title":"Mobile Virtual Communities of Commuters","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Taxis; Public transport; Global Positioning System; Telephony; Telecommunications; Computer science; The Internet; Passenger information; Transport engineering; Engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005941143,0.0003775015,0.0002092898,0.0009964634,0.002550793,0.005352463,0.001064011,0.001163629,0.03711002],"category_scores_gemma":[0.001600292,0.0002104103,0.0002532387,0.001019138,0.001151514,0.006132117,0.004730762,0.0007034021,0.005568766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007135454,"about_ca_system_score_gemma":0.0006622861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095073,"about_ca_topic_score_gemma":0.00199693,"domain_scores_codex":[0.9996069,0.0001714682,0.00001477517,0.00007036667,0.00007866441,0.00005779964],"domain_scores_gemma":[0.999233,0.0002017878,0.0000456721,0.0001356373,0.00008254562,0.0003014379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001213392,0.0001691476,0.001621074,0.0005097917,0.00001951949,0.001080583,0.02555947,0.001608424,0.002494154,0.4292812,0.1072075,0.4303278],"study_design_scores_gemma":[0.00001776934,0.00004525554,0.0005259481,0.0001264734,0.000008426122,0.0006493496,0.004842524,0.001541544,0.0003546033,0.0342846,0.9575904,0.00001308144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07505268,0.007239133,0.06626385,0.005563159,0.001189652,0.0003457733,0.0003707749,0.001609901,0.842365],"genre_scores_gemma":[0.4785153,0.004969133,0.03364239,0.0009400491,0.0005255543,0.0004649572,0.0006805684,0.000293727,0.4799683],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03711002,"threshold_uncertainty_score":0.1241454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882198951193807,"score_gpt":0.2252050856490272,"score_spread":0.2063830961370892,"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."}}