{"id":"W2046696915","doi":"10.1017/s1365100512000090","title":"PUBLIC INFRASTRUCTURE AND EXTERNALITIES IN U.S. MANUFACTURING: EVIDENCE FROM THE PRICE-AUGMENTING AIM COST FUNCTION","year":2012,"lang":"en","type":"article","venue":"Macroeconomic Dynamics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Externality; Proxy (statistics); Public infrastructure; Productivity; Economics; Flexibility (engineering); Function (biology); Industrial organization; Production (economics); Index (typography); Production function; Microeconomics; Econometrics; Computer science; 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":[0.001520914,0.000291419,0.0004258475,0.001589697,0.0003322978,0.001242401,0.0004382463,0.0006105455,0.002481597],"category_scores_gemma":[0.01164253,0.000211207,0.0006545703,0.00308977,0.001063661,0.001719727,0.001238305,0.001097638,0.0003409784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530309,"about_ca_system_score_gemma":0.0007501056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140794,"about_ca_topic_score_gemma":0.01881477,"domain_scores_codex":[0.9990067,0.0003709646,0.00006885152,0.0001472051,0.0002292043,0.0001770713],"domain_scores_gemma":[0.9859096,0.005611444,0.006069947,0.001037693,0.0009273433,0.000444007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004417805,0.0003090753,0.8204675,0.00014395,0.0003054679,0.0005118214,0.0003680483,0.100266,0.0005251211,0.04316989,0.004221479,0.02926978],"study_design_scores_gemma":[0.00007400676,0.0002443266,0.8947275,0.00005685307,0.0001613164,0.0001925504,0.0008231342,0.07239011,0.000995781,0.02497265,0.005304285,0.00005750552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891075,0.0005555137,0.00387954,0.001035367,0.00001162832,0.00001224827,0.0008062821,0.00006526262,0.004526591],"genre_scores_gemma":[0.9986848,0.0002101627,0.0002484708,0.00004041466,0.00001610165,0.000004346275,0.0004621261,0.000006446329,0.0003272026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02140794,"threshold_uncertainty_score":0.04256666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683915385425568,"score_gpt":0.2184317336511933,"score_spread":0.1715925797969376,"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."}}