{"id":"W3125018148","doi":"","title":"Program Quality and Treatment Completion for Youth Training Programs","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Propensity score matching; Quality (philosophy); Training (meteorology); Psychology; Medicine; Physical therapy; Statistics; Mathematics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.01238461,0.0002630411,0.0007195481,0.001126955,0.0006388281,0.00132922,0.0008965514,0.0009444859,0.009029051],"category_scores_gemma":[0.07761383,0.00031395,0.001186605,0.001736093,0.0006895777,0.0008934315,0.001833062,0.001992419,0.000475075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539903,"about_ca_system_score_gemma":0.00145841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008441423,"about_ca_topic_score_gemma":0.009343683,"domain_scores_codex":[0.9926317,0.00457533,0.0003434844,0.0006955456,0.0009029846,0.0008510012],"domain_scores_gemma":[0.9284766,0.03156529,0.0310546,0.003383351,0.001740449,0.003779714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001860372,0.001198358,0.963024,0.0001373761,0.000851947,0.00005155412,0.0006568824,0.004896371,0.0002473029,0.001252976,0.0007363149,0.02508661],"study_design_scores_gemma":[0.0002112058,0.001062843,0.9879044,0.00009769303,0.0003332914,0.00006820346,0.0004747157,0.006219325,0.0003912233,0.002205627,0.001008423,0.0000231304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992925,0.0005215296,0.003323474,0.0008827855,0.00001672579,0.000124002,0.001072592,0.00004667737,0.001087229],"genre_scores_gemma":[0.9970039,0.0001428099,0.0009092508,0.00009042827,0.00002049819,0.00008273021,0.0007656323,0.00001912663,0.0009657924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01238461,"threshold_uncertainty_score":0.06549686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5495414068579555,"score_gpt":0.5181398152830163,"score_spread":0.03140159157493916,"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."}}