{"id":"W3215639422","doi":"10.3390/jrfm14120580","title":"An Analysis of the Effects of Public Investment on Labor Demand through the Channel of Economic Growth with a Focus on Socio-Professional Categories and Gender","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Social accounting matrix; Labour economics; Economics; Inequality; Market segmentation; Supply and demand; Computable general equilibrium; Business; Microeconomics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007677723,0.0002491004,0.0003011746,0.000497308,0.0002878463,0.000919371,0.0002957828,0.0003879923,0.005649361],"category_scores_gemma":[0.002208118,0.0001222751,0.0004286144,0.0007614535,0.0003818621,0.0004853422,0.0005904129,0.0004075551,0.000255822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616072,"about_ca_system_score_gemma":0.00110028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.031569,"about_ca_topic_score_gemma":0.02790746,"domain_scores_codex":[0.9995869,0.0001726853,0.000008888689,0.0000353222,0.0000354594,0.0001606504],"domain_scores_gemma":[0.9979458,0.001474038,0.000234362,0.00005369484,0.0001510997,0.0001409599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001754278,0.0007618513,0.8681491,0.0001610771,0.0002820246,0.001462768,0.001018302,0.07957289,0.003083151,0.01400295,0.001218996,0.02853266],"study_design_scores_gemma":[0.00005028842,0.0009840368,0.8572301,0.0000520483,0.0002326799,0.0001461816,0.006618275,0.1255098,0.002010892,0.003762048,0.003366258,0.00003735098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975693,0.00005451973,0.0002411583,0.0001834884,0.000003246572,0.000007681445,0.0002267201,0.00000350739,0.001710368],"genre_scores_gemma":[0.9991015,0.00005751479,0.0000598159,0.000008024326,0.000002122418,0.000006273578,0.00007434511,0.000001047294,0.0006893868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.031569,"threshold_uncertainty_score":0.06277049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686603070893006,"score_gpt":0.2219134130211635,"score_spread":0.2050473823122335,"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."}}