{"id":"W2070570347","doi":"10.5539/jmr.v7n2p90","title":"Probabilistic Analysis of Balancing Scores for Causal Inference","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet","keywords":"Propensity score matching; Causal inference; Covariate; Confounding; Observational study; Outcome (game theory); Causal model; Inference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03647209,0.001706589,0.002538312,0.004536797,0.002029678,0.00408958,0.00339893,0.003101548,0.01126235],"category_scores_gemma":[0.1434626,0.001406161,0.002864735,0.003848217,0.005857795,0.00804957,0.005681355,0.005530607,0.00125884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009044,"about_ca_system_score_gemma":0.002842471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00262962,"about_ca_topic_score_gemma":0.001690179,"domain_scores_codex":[0.977604,0.01568562,0.0007293199,0.001845215,0.003305322,0.0008305584],"domain_scores_gemma":[0.8899697,0.09383423,0.00521297,0.005718648,0.00401699,0.0012475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005115352,0.00003048196,0.000983012,0.0001031032,0.00008867841,0.00008216334,0.0001353522,0.05245784,0.0002132137,0.9271404,0.001250464,0.01746419],"study_design_scores_gemma":[0.0000225813,0.00002356853,0.0002252732,0.0000421302,0.00002376192,0.00003842622,0.00001750087,0.2092201,0.0001208184,0.7887987,0.001452329,0.00001468952],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004823862,0.0003568638,0.9914839,0.0007484815,0.00004090003,0.00006849525,0.000122593,0.0001112498,0.002243714],"genre_scores_gemma":[0.4037103,0.002688496,0.5749912,0.001212689,0.001059799,0.001840702,0.00166729,0.0004322947,0.01239733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03647209,"threshold_uncertainty_score":0.1928852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5381036112364946,"score_gpt":0.5669298269646585,"score_spread":0.02882621572816391,"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."}}