{"id":"W2098699063","doi":"10.1002/pds.3377","title":"Disease risk score as a confounder summary method: systematic review and recommendations","year":2012,"lang":"en","type":"review","venue":"Pharmacoepidemiology and Drug Safety","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Medicine; Confounding; Pharmacoepidemiology; Disease; Systematic review; MEDLINE; Intensive care medicine; Internal medicine; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.4018008,0.001244293,0.0292225,0.0005279666,0.0006269493,0.0002129534,0.001711015,0.0003177512,0.009165589],"category_scores_gemma":[0.1498386,0.000574266,0.004127153,0.001086765,0.0002729497,0.0003943001,0.0006276582,0.001163137,0.00280306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007425703,"about_ca_system_score_gemma":0.0002632492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003011411,"about_ca_topic_score_gemma":0.000006671647,"domain_scores_codex":[0.7854347,0.1905558,0.02015815,0.002028389,0.001198845,0.0006241206],"domain_scores_gemma":[0.8220061,0.1472659,0.0235715,0.00494036,0.0007149389,0.001501193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006356711,0.00004062492,0.0003679149,0.6324769,0.002084039,0.000005895882,0.00006009118,3.687487e-7,4.387799e-9,0.004217337,0.1113375,0.249403],"study_design_scores_gemma":[0.0001167942,0.000005827465,0.00002874024,0.07984225,0.06736616,0.000135387,0.0000345515,0.0001117914,3.150641e-9,0.003025274,0.8488638,0.0004694463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.459617e-7,0.9798517,0.00773491,0.003189516,0.000559144,0.006015224,0.0005586453,0.00001929663,0.002071371],"genre_scores_gemma":[0.000003136956,0.9812592,0.002659726,0.006058372,0.0001892532,0.0008817432,0.0002924156,0.00004493209,0.008611199],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7375263,"threshold_uncertainty_score":0.9996709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.70915604573891,"score_gpt":0.6105426160552953,"score_spread":0.09861342968361475,"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."}}