{"id":"W3112659431","doi":"10.23889/ijpds.v5i5.1449","title":"Linking Health and Social Data to Assess the Performance of High Dimensional Propensity Scores","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Manitoba","funders":"","keywords":"Propensity score matching; Confounding; Medicine; Demography; Social deprivation; Matching (statistics); Environmental health; Psychology","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":[0.0925668,0.001382077,0.001303306,0.00687379,0.0009715021,0.003851229,0.001745651,0.00148176,0.003916518],"category_scores_gemma":[0.1814624,0.0007202736,0.003520406,0.008311116,0.001634333,0.002647932,0.005081816,0.001620068,0.0005488623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026047,"about_ca_system_score_gemma":0.001630177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003191928,"about_ca_topic_score_gemma":0.002037764,"domain_scores_codex":[0.8883306,0.09007808,0.006833943,0.006540819,0.00692235,0.001294102],"domain_scores_gemma":[0.8001235,0.1303121,0.03953869,0.02234188,0.006212933,0.001470939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002862984,0.0001458146,0.9480161,0.0002617429,0.004684528,0.00006142962,0.0002803475,0.008283908,0.0001417634,0.003899915,0.001281716,0.03265646],"study_design_scores_gemma":[0.0001804748,0.001189127,0.8428519,0.0004252361,0.001502986,0.0004187309,0.0007982201,0.1052962,0.001324927,0.03762085,0.008150212,0.0002413156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6727159,0.002560957,0.3018984,0.002356159,0.0005243769,0.001573672,0.01218629,0.000689978,0.005494331],"genre_scores_gemma":[0.9358068,0.0003585528,0.05751874,0.0002693164,0.0001460771,0.001013,0.004270577,0.00006600372,0.0005510699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0925668,"threshold_uncertainty_score":0.4895459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2356519183680368,"score_gpt":0.4298236471267988,"score_spread":0.194171728758762,"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."}}