{"id":"W2245607240","doi":"","title":"THE ELUSIVE LINK BETWEEN TRANSPORT INFRASTRUCTURE AND ECONOMIC GROWTH: TESTING FOR CAUSALITY BETWEEN PROVINCIAL INFRASTRUCTURE CAPITAL AND ECONOMIC ACTIVITY","year":2000,"lang":"en","type":"article","venue":"","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causality (physics); Public infrastructure; Capital (architecture); Frontier; Transport infrastructure; Public capital; Politics; Critical infrastructure; Economics; Capital expenditure; Public economics; Business; Finance; Political science; Geography; Public fund","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004175739,0.0002782837,0.000474783,0.001364953,0.001106354,0.001486806,0.0007979521,0.0004421873,0.002194951],"category_scores_gemma":[0.03627339,0.0001977063,0.0005855313,0.0039939,0.00184352,0.001350449,0.001639153,0.001539876,0.0001795968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669076,"about_ca_system_score_gemma":0.005423673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2987528,"about_ca_topic_score_gemma":0.2529652,"domain_scores_codex":[0.9979796,0.0007903936,0.0001550416,0.0002319265,0.0003945237,0.0004486059],"domain_scores_gemma":[0.967853,0.02180123,0.005342061,0.001446722,0.002485483,0.001071575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001467835,0.00006566579,0.9816309,0.00004050651,0.0001301022,0.00008758783,0.0006370264,0.002122559,0.0002139503,0.00510383,0.0002421546,0.009579065],"study_design_scores_gemma":[0.00002326363,0.0001606532,0.9715495,0.00004341794,0.0001741463,0.00005600035,0.003051965,0.01713078,0.0005564592,0.005997404,0.001243695,0.00001279242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951106,0.0002622187,0.0010465,0.0007779321,0.00001104463,0.00001341293,0.0002433991,0.000005793342,0.002529103],"genre_scores_gemma":[0.9992189,0.0001112148,0.0002590961,0.00001911166,0.000006400573,0.000006330156,0.0001454447,0.000001576846,0.0002319302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987528,"threshold_uncertainty_score":0.5940277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874895449867265,"score_gpt":0.2219403520411414,"score_spread":0.2031913975424687,"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."}}