{"id":"W2060496272","doi":"10.1177/1049731507303958","title":"The Use of Propensity Scores as a Matching Strategy","year":2007,"lang":"en","type":"article","venue":"Research on Social Work Practice","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; McMaster University; McGill University","funders":"","keywords":"Propensity score matching; Prosocial behavior; Psychology; Matching (statistics); National Longitudinal Surveys; Longitudinal study; Baseline (sea); Socioeconomic status; Developmental psychology; Social psychology; Clinical psychology; Demography; Medicine; Sociology; Demographic economics; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1442535,0.001023484,0.001624477,0.004284431,0.001100554,0.001808522,0.002080342,0.00150883,0.005066424],"category_scores_gemma":[0.2783728,0.000746067,0.001966328,0.005016238,0.00165815,0.00212162,0.003530108,0.001972715,0.001007532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008928099,"about_ca_system_score_gemma":0.002427781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152706,"about_ca_topic_score_gemma":0.0008787505,"domain_scores_codex":[0.7607868,0.2204375,0.005080591,0.00674399,0.006166423,0.000784751],"domain_scores_gemma":[0.8611417,0.1000242,0.008447474,0.02506304,0.004709271,0.0006143544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003417161,0.001151203,0.1480778,0.0009947687,0.006378367,0.0004499344,0.002240525,0.02428276,0.002489917,0.1672173,0.01490293,0.6283973],"study_design_scores_gemma":[0.003459472,0.005732895,0.109329,0.0007391498,0.003659846,0.001832289,0.001386613,0.4300671,0.01058039,0.3751466,0.05752964,0.000536941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01769315,0.000157386,0.9768671,0.0003582983,0.000148575,0.002928013,0.0004569942,0.0003722298,0.00101827],"genre_scores_gemma":[0.2438554,0.0002152274,0.7418311,0.0004137976,0.0001842293,0.01093439,0.001036145,0.0001648661,0.001364783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1442535,"threshold_uncertainty_score":0.7628943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4055559833598892,"score_gpt":0.5268867276365428,"score_spread":0.1213307442766535,"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."}}