{"id":"W2016057461","doi":"10.3141/2143-14","title":"Anxiety-Based Formulation to Estimate Generalized Cost of Transit Travel Time","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anxiety; Transit (satellite); Reliability (semiconductor); Mode (computer interface); Function (biology); Service (business); Econometrics; Operations research; Public transport; Computer science; Transport engineering; Engineering; Economics; Psychology; Marketing; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001496379,0.0007141172,0.0005461294,0.001058352,0.000218818,0.001080409,0.00140638,0.000754621,0.002186996],"category_scores_gemma":[0.009361699,0.0003945961,0.0008543219,0.0009142781,0.0004208969,0.001075793,0.0007195779,0.001110542,0.0002113221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313728,"about_ca_system_score_gemma":0.001038835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01769238,"about_ca_topic_score_gemma":0.009029627,"domain_scores_codex":[0.9990951,0.0004470558,0.00004864447,0.0001317229,0.0001912846,0.00008634027],"domain_scores_gemma":[0.9970297,0.001930887,0.0003994699,0.000208053,0.0003441423,0.00008784308],"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":[0.00005614615,0.00006883901,0.008580674,0.00003969438,0.00006800691,0.0000573931,0.00005293394,0.965862,0.0008751995,0.01425784,0.0004464573,0.009634833],"study_design_scores_gemma":[0.000003521971,0.00001805843,0.001625441,0.000002493839,0.000006583222,0.00001403407,0.000007902323,0.9966927,0.0001081285,0.001396927,0.0001158321,0.000008412572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1735501,0.000116549,0.8232895,0.00022197,0.00004260672,0.0001499519,0.0004841297,0.0002239591,0.001921244],"genre_scores_gemma":[0.9000313,0.0001372711,0.0976439,0.00007112964,0.00004236164,0.0002707477,0.0006018733,0.00005666667,0.001144669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01769238,"threshold_uncertainty_score":0.03517884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647666086540845,"score_gpt":0.417526342715033,"score_spread":0.3510496818496245,"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."}}