{"id":"W2059606555","doi":"10.3141/2415-11","title":"Transitory Optimism","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":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attractiveness; Descriptive statistics; Perception; Service quality; Transport engineering; Service (business); Optimism; Public transport; Term (time); Marketing; Computer science; Business; Applied psychology; Psychology; Engineering; Statistics; Mathematics; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01067625,0.0002407365,0.00044161,0.001047495,0.00205706,0.0002240218,0.001370718,0.0003214699,0.0005168482],"category_scores_gemma":[0.0004678593,0.0001975816,0.0004482885,0.002599851,0.001373304,0.0009192692,0.000002753758,0.00218548,0.00004245019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253176,"about_ca_system_score_gemma":0.001067898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01708173,"about_ca_topic_score_gemma":0.07891958,"domain_scores_codex":[0.9886436,0.003303921,0.001381617,0.0004227088,0.005173861,0.001074276],"domain_scores_gemma":[0.9921634,0.001684206,0.0004802369,0.0004503389,0.004622551,0.0005992959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003066227,0.001124647,0.5325316,0.0005352591,0.0004528446,0.0001744122,0.1187455,0.052971,0.003051148,0.1840241,0.05857832,0.04474497],"study_design_scores_gemma":[0.001724815,0.0004298056,0.689553,0.0003438807,0.0000744764,2.481539e-7,0.008133812,0.0002743645,0.0004500083,0.005468733,0.2932405,0.0003063479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596013,0.0002267007,0.01964606,0.01201453,0.001862207,0.001115066,0.00004312491,0.0001107432,0.005380237],"genre_scores_gemma":[0.9912779,0.0009180557,0.004439584,0.0001199606,0.000647757,0.00004272772,0.00002220804,0.00005648931,0.002475333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2346622,"threshold_uncertainty_score":0.9992421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.087478025927429,"score_gpt":0.4025614737485831,"score_spread":0.3150834478211542,"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."}}