{"id":"W4405795509","doi":"10.2139/ssrn.5069361","title":"The Long-run Effects of Transportation Productivity on the US Economy","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Productivity; Economics; Macroeconomics","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":[0.0007914874,0.0002828185,0.0003149555,0.001087993,0.0005022855,0.002209077,0.0003370816,0.001142068,0.008503902],"category_scores_gemma":[0.003556409,0.0002434038,0.0009834311,0.002326247,0.0006530409,0.001746779,0.0008259585,0.001693378,0.001111496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002499582,"about_ca_system_score_gemma":0.001250604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1001218,"about_ca_topic_score_gemma":0.1125691,"domain_scores_codex":[0.9997464,0.00005561243,0.00002096028,0.00004276863,0.00002787114,0.0001064161],"domain_scores_gemma":[0.9967028,0.001169032,0.0009521353,0.0001199973,0.0005019248,0.0005540451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00137749,0.0004015474,0.9106613,0.0002024726,0.0008852492,0.0008924152,0.0003452186,0.04725866,0.002130642,0.009992322,0.01032916,0.01552339],"study_design_scores_gemma":[0.0000542372,0.0003114285,0.9657475,0.00009342801,0.0005456714,0.0001373764,0.001796004,0.01887938,0.001197984,0.005694099,0.005470895,0.00007205594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860967,0.002471192,0.0003867331,0.003673735,0.00008647882,0.000007077579,0.003579176,0.00003949066,0.003659335],"genre_scores_gemma":[0.9940277,0.001528495,0.0000374487,0.0001523532,0.00006229203,0.000003783158,0.001286654,0.00001058076,0.002890626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001218,"threshold_uncertainty_score":0.199078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255960995668581,"score_gpt":0.1910606850408215,"score_spread":0.1785010750841357,"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."}}