{"id":"W658215482","doi":"","title":"RESOLUTION OF LRT DELAYS IN DOWNTOWN CALGARY: A LOW COST TECH, HIGH BENEEFITS SOLUTION","year":2003,"lang":"en","type":"article","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; TRIPS architecture; Transit (satellite); Per capita; Transport engineering; Work (physics); Geography; Service (business); Business; Agricultural economics; Public transport; Engineering; Marketing; Economics; Archaeology; Demography","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":[0.000609763,0.001164147,0.0008129598,0.0008106507,0.001886335,0.001649858,0.002279763,0.001723591,0.01125547],"category_scores_gemma":[0.001523943,0.0003891232,0.0003524897,0.001243447,0.0004904082,0.0008784479,0.001722931,0.0009000199,0.0009097561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586281,"about_ca_system_score_gemma":0.004449366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1510432,"about_ca_topic_score_gemma":0.1922394,"domain_scores_codex":[0.9993135,0.00006397477,0.00001717795,0.0001284825,0.00009835071,0.0003785613],"domain_scores_gemma":[0.9993663,0.0001035119,0.00008714765,0.00004842339,0.0001954715,0.0001990872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005759241,0.0003958848,0.008325738,0.0001796458,0.00005703747,0.001942045,0.0003520135,0.7582269,0.004746643,0.009210067,0.03860531,0.1773827],"study_design_scores_gemma":[0.0002522861,0.0004475459,0.006320263,0.00003314475,0.00006191505,0.0005488567,0.002222723,0.9603686,0.002373182,0.005227163,0.02210104,0.00004320389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6184828,0.001474101,0.2942677,0.004748604,0.0005244329,0.001118744,0.001798516,0.002638584,0.07494646],"genre_scores_gemma":[0.9090346,0.0004557562,0.06207208,0.000397903,0.0001032413,0.0001355702,0.001178068,0.0001408402,0.02648186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8489568,"threshold_uncertainty_score":0.3003281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514000004961218,"score_gpt":0.2620966980986609,"score_spread":0.2469566980490487,"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."}}