{"id":"W3217180409","doi":"","title":"The crowding out or crowding effects on the social economy public policies: a Montreal empirical analysis","year":2011,"lang":"en","type":"article","venue":"Revue économique","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; Crowding out; Economics; Philosophy; Monetary economics","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":[0.00259799,0.0003263617,0.000580667,0.003112855,0.001674865,0.001703021,0.0009053072,0.000429285,0.01225581],"category_scores_gemma":[0.01018552,0.0003191756,0.0009474439,0.003930129,0.001797472,0.00107205,0.001323916,0.0007697362,0.0004110942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01709779,"about_ca_system_score_gemma":0.009995925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.930738,"about_ca_topic_score_gemma":0.9028211,"domain_scores_codex":[0.9988711,0.0003974881,0.00003748811,0.0001328694,0.0002669003,0.0002940967],"domain_scores_gemma":[0.9925425,0.004331668,0.0009230691,0.0003703245,0.001330428,0.0005020715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000477324,0.000347352,0.6439121,0.0005113512,0.001083482,0.001270211,0.006113326,0.07808568,0.001401174,0.15589,0.01681397,0.09409412],"study_design_scores_gemma":[0.00009895318,0.0002211283,0.8888831,0.0002761856,0.0008228946,0.0001197622,0.007530166,0.05460079,0.000990382,0.01314759,0.03319936,0.0001097533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527374,0.004492085,0.004704866,0.004806892,0.00002570349,0.000133945,0.002067084,0.00008225728,0.03094981],"genre_scores_gemma":[0.9882432,0.001220982,0.0008983568,0.0001354158,0.0000301104,0.0000378546,0.0003515003,0.00001787475,0.009064749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06926197,"threshold_uncertainty_score":0.1393397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1838305048284149,"score_gpt":0.2744916881705834,"score_spread":0.09066118334216847,"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."}}