{"id":"W4401635949","doi":"10.1016/j.ecotra.2024.100371","title":"Microgeographic speed, reliability, and traffic externalities","year":2024,"lang":"en","type":"article","venue":"Economics of Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Externality; Reliability (semiconductor); Transport engineering; Environmental science; Computer science; Economics; Engineering; Microeconomics; Physics","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":[0.0005387694,0.0003249336,0.0003229019,0.00149756,0.0003422282,0.0009189541,0.0003111354,0.0003085518,0.00426205],"category_scores_gemma":[0.004809253,0.0003294952,0.0004818704,0.001902606,0.0006209576,0.001030567,0.0009036819,0.0005323026,0.0004245247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117572,"about_ca_system_score_gemma":0.0003404569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05430615,"about_ca_topic_score_gemma":0.06742149,"domain_scores_codex":[0.9995207,0.0001501421,0.00002683393,0.0001007967,0.0001038081,0.00009782082],"domain_scores_gemma":[0.9970643,0.001168271,0.0009398638,0.0002450011,0.0004212263,0.0001613965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001709572,0.00005606706,0.827172,0.00004743837,0.0002843514,0.0002168992,0.0002874348,0.1603547,0.0003336539,0.003642868,0.0009276328,0.006506034],"study_design_scores_gemma":[0.00001917097,0.0001858226,0.9205533,0.00003001085,0.000116273,0.0001975653,0.0006443216,0.07061031,0.0004758842,0.003231444,0.003893377,0.00004257964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932901,0.0001401475,0.002548035,0.000105997,0.000005869155,0.00001361674,0.001124889,0.00001827838,0.002753],"genre_scores_gemma":[0.9975296,0.00009227847,0.0002771599,0.00001047448,0.00000449552,0.000008985558,0.00078703,0.000005763397,0.001284267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05430615,"threshold_uncertainty_score":0.1079801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004803136929475562,"score_gpt":0.1763129465350953,"score_spread":0.1715098096056198,"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."}}