{"id":"W1996846055","doi":"10.3141/2105-01","title":"Driver-Assisted Bus Interview","year":2009,"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":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Data collection; Computer science; Survey data collection; Public transport; Transport engineering; Bus rapid transit; Data quality; Transit (satellite); Service (business); Travel survey; Smart card; Survey methodology; Travel behavior; Data science; Engineering; Computer security; Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01275085,0.0002008108,0.0004573456,0.001054412,0.001849194,0.0002507069,0.001579604,0.0002224924,0.001480952],"category_scores_gemma":[0.0005291223,0.0001581103,0.0006298828,0.003666752,0.001179807,0.0007085605,0.000003835383,0.002045698,0.00006199067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004812829,"about_ca_system_score_gemma":0.001451739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03935414,"about_ca_topic_score_gemma":0.3399731,"domain_scores_codex":[0.9883149,0.004215587,0.001374683,0.0003927237,0.004772867,0.0009292364],"domain_scores_gemma":[0.992039,0.001138588,0.0004458133,0.000508149,0.005329756,0.0005386911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001907385,0.002697683,0.2443859,0.0004458912,0.0006538646,0.0003524265,0.08167766,0.001727117,0.004679753,0.0620329,0.03687204,0.5625674],"study_design_scores_gemma":[0.0008255129,0.0004909753,0.889213,0.0003502653,0.00007983296,1.496263e-7,0.008549952,0.00005653059,0.0002619078,0.01021286,0.08977219,0.000186811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631768,0.0004253431,0.003033965,0.03015132,0.0004135888,0.0009362306,0.00002701903,0.00004946343,0.001786265],"genre_scores_gemma":[0.9951757,0.001583188,0.0005367699,0.0002017863,0.0003259629,0.0000266547,0.00001538377,0.00002093014,0.002113639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6448271,"threshold_uncertainty_score":0.9994503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459038076735555,"score_gpt":0.439189973149391,"score_spread":0.2932861654758354,"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."}}