{"id":"W2138523972","doi":"10.3141/2275-03","title":"Modeling Dwell Time for Streetcars in Melbourne, Australia, and Toronto, Canada","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Clair College","funders":"Monash University","keywords":"Dwell time; Transport engineering; Payment; Ticket; Engineering; Computer science; Operations research; Business; Computer security; Finance; Psychology","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":[0.0004918271,0.000784556,0.0005521002,0.001060224,0.001025308,0.001460685,0.001667097,0.0007321805,0.005745042],"category_scores_gemma":[0.001847208,0.0004615544,0.001123652,0.001828877,0.0005850075,0.0005644942,0.0006923922,0.0007453983,0.0005836249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02090202,"about_ca_system_score_gemma":0.01018482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979718,"about_ca_topic_score_gemma":0.9780881,"domain_scores_codex":[0.9996706,0.00003778216,0.0000113853,0.0000910133,0.00006372972,0.0001254177],"domain_scores_gemma":[0.9991127,0.0002417604,0.00006228101,0.00004219488,0.0003957725,0.0001452445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005112072,0.0002521817,0.2006782,0.0001907511,0.0002087817,0.000475883,0.0008999482,0.7582977,0.001456624,0.007178541,0.009795195,0.02005494],"study_design_scores_gemma":[0.00002673293,0.00005561508,0.09430978,0.00003362161,0.00005269498,0.00004106841,0.0008281539,0.9004126,0.0002751782,0.0005932812,0.003320585,0.00005070334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840782,0.0004544212,0.003412377,0.0002317285,0.00002742942,0.00006083498,0.007360282,0.0001519644,0.004222746],"genre_scores_gemma":[0.9870964,0.0002648447,0.002402944,0.00002361524,0.000005143137,0.00004140309,0.005602212,0.00004027798,0.004523096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02090202,"threshold_uncertainty_score":0.1516555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116489453538174,"score_gpt":0.4087323676994584,"score_spread":0.297083422345641,"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."}}