{"id":"W2005411779","doi":"10.3141/2418-14","title":"Examining the Characteristics of Intercity Bus Passengers in Michigan","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Michigan Department of Transportation","keywords":"Transport engineering; Service (business); Public transport; Quarter (Canadian coin); Engineering; Business; Geography; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01248315,0.0001751728,0.0004256301,0.0008268464,0.0007646065,0.0001097882,0.001160693,0.0001974263,0.0001489201],"category_scores_gemma":[0.0008724268,0.000124765,0.0002160709,0.002409012,0.001196814,0.0005034031,0.000004084122,0.001825323,0.000005960243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293286,"about_ca_system_score_gemma":0.0006561356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01940364,"about_ca_topic_score_gemma":0.1827152,"domain_scores_codex":[0.9913064,0.003023924,0.001540353,0.0002911336,0.003136816,0.000701421],"domain_scores_gemma":[0.9934871,0.002540511,0.0006829241,0.0003636582,0.002693161,0.0002326807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007072916,0.0001993321,0.9269934,0.0001377507,0.00006095527,0.00002130218,0.04806698,0.002397972,0.0009690023,0.009591985,0.000651073,0.01020298],"study_design_scores_gemma":[0.0007811913,0.0002409479,0.9733396,0.0003875364,0.00002935446,1.051458e-7,0.01358907,0.0001814202,0.0003031799,0.001255469,0.009768503,0.0001236663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920588,0.00006009258,0.002358044,0.003733792,0.0005440466,0.0006139793,0.00003289618,0.00001905328,0.0005792645],"genre_scores_gemma":[0.9977354,0.0006712404,0.0009337179,0.00005069786,0.0001916863,0.00002805378,0.00001943006,0.0000294554,0.0003402698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633116,"threshold_uncertainty_score":0.9871262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102160233088701,"score_gpt":0.3895090313540492,"score_spread":0.2792930080451791,"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."}}