{"id":"W2250135042","doi":"","title":"Impact de productivité des infrastructures: Une application au Québec","year":2015,"lang":"fr","type":"article","venue":"Cahiers de recherche","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.001418468,0.0006266016,0.0006428932,0.002220673,0.0009616975,0.001831985,0.0006677897,0.0006375202,0.006903237],"category_scores_gemma":[0.005873535,0.0002115263,0.0007626212,0.00689408,0.0007894006,0.0005585595,0.0008549323,0.0008592645,0.0003255972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01914207,"about_ca_system_score_gemma":0.009867884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9748652,"about_ca_topic_score_gemma":0.9578328,"domain_scores_codex":[0.9993493,0.0002124022,0.00002497584,0.000104322,0.0002058645,0.0001031123],"domain_scores_gemma":[0.9954092,0.002321311,0.000344628,0.0001696772,0.00158721,0.0001680071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003991791,0.0003260579,0.5805894,0.00106367,0.001118707,0.001210617,0.003105795,0.1412027,0.001368267,0.05738026,0.024474,0.1877614],"study_design_scores_gemma":[0.00009629789,0.0002852554,0.7764055,0.0008456676,0.0008870566,0.0002008081,0.003906302,0.1512656,0.001391051,0.01097065,0.0536367,0.0001092381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547167,0.02149395,0.02559964,0.00779141,0.0001977311,0.0002652169,0.01106562,0.0003205623,0.07854903],"genre_scores_gemma":[0.9740248,0.005931641,0.004830515,0.0002016777,0.00004103584,0.00008234808,0.001209967,0.00003166818,0.01364634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0251348,"threshold_uncertainty_score":0.1388862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.162301865006997,"score_gpt":0.3371703094187317,"score_spread":0.1748684444117347,"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."}}