{"id":"W2119997346","doi":"10.1002/atr.5670350307","title":"Behavioral monitoring of public transport users through a mobile communication system","year":2001,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Transport system; Information system; Computer science; Mobile telephony; Automatic vehicle location; Communications system; Telecommunications; Global Positioning System; Engineering; Mobile radio; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000253952,0.0001870012,0.0001923538,0.0005864342,0.0002897407,0.0003895225,0.0001508166,0.0003196327,0.001604884],"category_scores_gemma":[0.001755276,0.00008329214,0.000102752,0.0004952661,0.0001044157,0.0002742938,0.0001786073,0.0002710628,0.0003161959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165766,"about_ca_system_score_gemma":0.0001911222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006180635,"about_ca_topic_score_gemma":0.005341817,"domain_scores_codex":[0.9997208,0.000135927,0.0000180076,0.00004058272,0.00005078654,0.0000339939],"domain_scores_gemma":[0.9988523,0.0003209742,0.0002900881,0.00007737235,0.0003226992,0.0001366363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003326037,0.0003910353,0.9616075,0.00004964236,0.00005399306,0.0001560139,0.001508751,0.001005267,0.008087104,0.0001244666,0.0005175035,0.02616605],"study_design_scores_gemma":[0.00001563466,0.001220713,0.9746324,0.00002062339,0.00008434127,0.0002577884,0.002940925,0.01388838,0.004937206,0.0001010078,0.001868939,0.0000320171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987238,0.00001108128,0.0003312737,0.00002945053,0.000002282461,0.00001338628,0.000136351,0.00001444335,0.0007378995],"genre_scores_gemma":[0.9993203,0.00001371824,0.0002611763,0.00000856205,0.000002690617,0.00001206306,0.00007231181,0.000001042793,0.0003082411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006180635,"threshold_uncertainty_score":0.01228935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358993789122795,"score_gpt":0.3478719018423121,"score_spread":0.3042819639510842,"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."}}