{"id":"W2097523546","doi":"10.1097/chi.0b013e3180686d63","title":"Secondary Evaluations of MTA 36-Month Outcomes: Propensity Score and Growth Mixture Model Analyses","year":2007,"lang":"en","type":"article","venue":"Journal of the American Academy of Child & Adolescent Psychiatry","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Office of Juvenile Justice and Delinquency Prevention; Purdue Pharma; McGill University; University of Pittsburgh; Celgene; Purdue University; GlaxoSmithKline; York University; U.S. Department of Justice; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; National Institute of Mental Health; Pfizer; Sanofi; Abbott Laboratories; U.S. Department of Education; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Propensity score matching; Selection bias; Medicine; Randomized controlled trial; Outcome (game theory); Psychology; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02717468,0.001883703,0.003574426,0.003448514,0.001318061,0.001929382,0.002699693,0.001920099,0.007327814],"category_scores_gemma":[0.06020474,0.0006517976,0.006049721,0.003215923,0.0007623563,0.002094867,0.001853694,0.002645716,0.001402827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020415,"about_ca_system_score_gemma":0.002343827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006480767,"about_ca_topic_score_gemma":0.005092949,"domain_scores_codex":[0.9798421,0.01138562,0.001845191,0.00319788,0.002241145,0.001488143],"domain_scores_gemma":[0.9616963,0.01740784,0.007022412,0.008592664,0.003999163,0.001281543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0200238,0.001122941,0.93976,0.0002307715,0.008172593,0.0002887127,0.000286749,0.004103736,0.0009004748,0.0009827676,0.005530351,0.01859706],"study_design_scores_gemma":[0.001097985,0.004673942,0.9555294,0.00006173644,0.004709161,0.0004938904,0.0003390373,0.02546985,0.002171592,0.002221408,0.003119751,0.0001123988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626718,0.0006618746,0.02002015,0.0002836425,0.0001867849,0.0006916378,0.01264601,0.0002996856,0.00253851],"genre_scores_gemma":[0.9842821,0.00009002833,0.003358372,0.00008466837,0.0001393531,0.001014655,0.008180023,0.0001475273,0.002703217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02717468,"threshold_uncertainty_score":0.1437151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06007958132969043,"score_gpt":0.3771260690895273,"score_spread":0.3170464877598368,"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."}}