{"id":"W7161955158","doi":"10.82308/15082","title":"Alleviating traffic congestion in Montreal's Champlain Bridge corridor : commuter rail or express bus?","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Public transport; Rail transit; Traffic congestion; Mode (computer interface); Light rail transit; Work (physics); Urban rail transit","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":[0.0003847519,0.0003324191,0.0002402841,0.0003022253,0.0006741909,0.001213428,0.0008480699,0.0004150678,0.004507965],"category_scores_gemma":[0.001106415,0.0001352443,0.0003691782,0.0005875477,0.0005898345,0.0006854597,0.0004015486,0.0004343886,0.0001402847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007814062,"about_ca_system_score_gemma":0.00713431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7399727,"about_ca_topic_score_gemma":0.8715117,"domain_scores_codex":[0.9998124,0.00006167564,0.000001726679,0.00001993746,0.00002196401,0.00008240702],"domain_scores_gemma":[0.9997787,0.00006237008,0.00003321656,0.00001021135,0.00005049646,0.00006500963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006613144,0.001064632,0.137932,0.0004268977,0.0002890051,0.0008032583,0.002783825,0.5334907,0.0133699,0.1219102,0.03206241,0.1552058],"study_design_scores_gemma":[0.0003180284,0.0009503699,0.2234573,0.000160995,0.0003714229,0.00009586497,0.01012198,0.7035325,0.004361738,0.01884396,0.03764131,0.0001444965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962521,0.0003607441,0.01053628,0.003618735,0.00003125974,0.0001135912,0.0003081497,0.00006223587,0.02244807],"genre_scores_gemma":[0.9894791,0.0005430928,0.003413265,0.00009035681,0.0000162366,0.00003511601,0.0001045072,0.00001032742,0.006307883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2600273,"threshold_uncertainty_score":0.5231174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927786506877865,"score_gpt":0.3123143358334293,"score_spread":0.2830364707646506,"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."}}