{"id":"W2460333031","doi":"10.1016/j.evalprogplan.2016.06.009","title":"The impacts of intergovernmental grants on municipal infrastructure: Evidence from the Canada-Quebec infrastructure works 2000 program","year":2016,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Investment (military); Critical infrastructure; Public infrastructure; Business; Transportation infrastructure; Water infrastructure; Finance; Public administration; Environmental planning; Political science; Water supply; Transport engineering; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008885199,0.000120701,0.0001062692,0.00001032784,0.000557708,0.0001891625,0.0002566602,0.00008093662,0.0001174007],"category_scores_gemma":[0.0009011385,0.00005892504,0.00003071244,0.0001885166,0.0002646696,0.0002836239,0.00004536335,0.0001216126,0.000001054203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396655,"about_ca_system_score_gemma":0.0007259695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1936391,"about_ca_topic_score_gemma":0.5557065,"domain_scores_codex":[0.9977022,0.0003361257,0.0002380129,0.0001845481,0.001256887,0.0002822484],"domain_scores_gemma":[0.9988303,0.000598108,0.0002322563,0.0001732272,0.00008566126,0.00008046232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001413901,0.00001666948,0.1006469,0.00000247295,0.00002470717,7.183733e-7,0.01017041,0.0001296243,0.00003991227,0.0002880424,0.005457882,0.8830813],"study_design_scores_gemma":[0.0007856524,0.0002206743,0.8862976,0.001132764,0.00005854691,6.697481e-7,0.0107335,0.002562219,0.0002411334,0.001036687,0.09674138,0.0001891295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932609,0.001618996,0.00006096361,0.003115728,0.0003715949,0.001025015,0.0000210676,0.0000344133,0.0004913025],"genre_scores_gemma":[0.998818,0.0005196356,0.0001222296,0.0002335872,0.0001345984,0.00006527294,0.00001165451,0.000006500843,0.00008851872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8828921,"threshold_uncertainty_score":0.8117306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116798306639455,"score_gpt":0.3624651910394529,"score_spread":0.3312972079730583,"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."}}