{"id":"W2139441579","doi":"10.1016/j.worlddev.2006.10.007","title":"Combining Quantitative and Qualitative Data in Welfare Policy Evaluations in the United States","year":2006,"lang":"en","type":"article","venue":"World Development","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Welfare; Qualitative property; Political science; Qualitative research; Economics; Public economics; Sociology; Statistics; Social science; Law; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2242939,0.0007858741,0.001579362,0.01143364,0.003834537,0.006023601,0.001517866,0.002086402,0.003143357],"category_scores_gemma":[0.3588542,0.001008539,0.001202824,0.01492718,0.004086641,0.007380542,0.005930673,0.002517009,0.0003866977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01565921,"about_ca_system_score_gemma":0.0183789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03005181,"about_ca_topic_score_gemma":0.06611647,"domain_scores_codex":[0.6371218,0.3296533,0.01134921,0.002122043,0.01654304,0.003210727],"domain_scores_gemma":[0.4242173,0.5053784,0.0181154,0.007447999,0.04254317,0.002297781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003794022,0.004587273,0.4840286,0.008923849,0.002032398,0.0005116523,0.1455133,0.009944767,0.001210738,0.03261127,0.02703941,0.2798027],"study_design_scores_gemma":[0.00131809,0.003934253,0.3047487,0.01793729,0.001566323,0.0001836715,0.5583661,0.02051828,0.005078277,0.05132446,0.034472,0.0005527035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9034499,0.006067034,0.02840216,0.01182961,0.0004427233,0.008980714,0.01009469,0.00008054997,0.03065257],"genre_scores_gemma":[0.9578722,0.001288712,0.01919115,0.002051063,0.00004758708,0.01646301,0.002194425,0.00002789417,0.000863926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2242939,"threshold_uncertainty_score":0.9565837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4238891020754363,"score_gpt":0.5808007797769168,"score_spread":0.1569116777014805,"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."}}