{"id":"W2047255134","doi":"10.3141/2111-04","title":"Assessing a Model for Optimal Bus Stop Spacing with High-Resolution Archived Stop-Level Data","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Metropolitan area; Transit (satellite); Public transport; Transport engineering; Operating cost; Service (business); Process (computing); Computer science; Engineering; Business; Geography; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003047954,0.001004368,0.000984255,0.001020319,0.0005636748,0.00184853,0.00168306,0.001854778,0.001813467],"category_scores_gemma":[0.007659638,0.001024333,0.001106439,0.0008438701,0.0007377414,0.001210377,0.0006400995,0.001248572,0.0002687976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003658904,"about_ca_system_score_gemma":0.002509257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06540363,"about_ca_topic_score_gemma":0.03019077,"domain_scores_codex":[0.9992337,0.0003612078,0.00003036588,0.0001465704,0.0001124195,0.0001156814],"domain_scores_gemma":[0.9944554,0.004540492,0.0003581258,0.0001156988,0.0004032007,0.0001271416],"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":[0.00001006131,0.000008444104,0.0003817189,0.000004235661,0.000003659463,0.000005576467,0.000004003213,0.998965,0.0000271174,0.0002330315,0.00003212912,0.0003249373],"study_design_scores_gemma":[0.000004548295,0.00001047626,0.0001481123,0.000001600646,0.000002402917,0.000001827933,0.000005688672,0.9996075,0.00003507921,0.0001470657,0.00003348629,0.000002276077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7419193,0.0002723786,0.2471673,0.0006401329,0.00003382668,0.000212067,0.001272979,0.0006238681,0.007858234],"genre_scores_gemma":[0.9633451,0.0001183479,0.03347652,0.00003406339,0.00001152063,0.0002136382,0.0007256347,0.00006229367,0.002012892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06540363,"threshold_uncertainty_score":0.1300459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2751282109134544,"score_gpt":0.4509045113488333,"score_spread":0.175776300435379,"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."}}