{"id":"W4403423632","doi":"10.1007/978-3-031-67604-8_5","title":"The Application of Randomized and Quasi-Experimental Designs in Federal Government Program Evaluation","year":2024,"lang":"en","type":"book-chapter","venue":"Contributions to economics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Government (linguistics); Computer science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001706736,0.0002200287,0.000626308,0.00006166506,0.00008845075,0.00007674358,0.0001329313,0.0001842015,0.00001498393],"category_scores_gemma":[0.0004559109,0.0001852432,0.0001315552,0.00001866847,0.0001711412,0.00006403765,0.000109131,0.000192246,0.00001211995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364165,"about_ca_system_score_gemma":0.0001009806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009361931,"about_ca_topic_score_gemma":0.0001468658,"domain_scores_codex":[0.9985919,0.00005012855,0.0007659481,0.000287209,0.0001430319,0.0001618028],"domain_scores_gemma":[0.9982228,0.0008973897,0.0003580473,0.0003258478,0.0001439065,0.0000519837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005710708,0.00006883438,0.000001185005,0.00001697145,0.00007451167,2.174282e-7,0.00006987417,0.0000161816,0.00005333369,0.9837554,0.00009685512,0.01527556],"study_design_scores_gemma":[0.005329121,0.0001669543,9.228872e-7,0.0001048769,0.0001160917,0.000003030834,0.00004554416,0.009368498,0.001599184,0.9691241,0.01393809,0.0002035927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01201199,0.01456207,0.5529897,0.004267861,0.0008750069,0.09736653,0.003090396,0.001087828,0.3137486],"genre_scores_gemma":[0.8827326,0.002862809,0.04240428,0.0001300583,0.0003410475,0.03255046,0.0003697415,0.0002597849,0.03834923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8707206,"threshold_uncertainty_score":0.7553998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0852557673877345,"score_gpt":0.4114723712296289,"score_spread":0.3262166038418944,"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."}}