{"id":"W1692526950","doi":"10.1002/pds.2318","title":"Mini‐Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative data: summary of findings and suggestions for future research","year":2012,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Medicine; Generalizability theory; Systematic review; External validity; Pharmacoepidemiology; MEDLINE; Data mining; Computer science; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1469731,0.003318383,0.01089902,0.02604649,0.001310712,0.006199958,0.004251842,0.004246516,0.0050243],"category_scores_gemma":[0.3839417,0.002686488,0.01836044,0.01942129,0.002038871,0.007590168,0.004602377,0.003107612,0.0009756223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01081462,"about_ca_system_score_gemma":0.03848106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009292626,"about_ca_topic_score_gemma":0.03074544,"domain_scores_codex":[0.8994182,0.04511942,0.03848351,0.003331669,0.0121377,0.001509491],"domain_scores_gemma":[0.5339695,0.3319345,0.05288748,0.01015502,0.06901286,0.002040706],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004420325,0.00002792229,0.002528611,0.8846682,0.01768279,0.0001133763,0.0007581464,0.0002423245,0.0003738702,0.0008854973,0.01849603,0.07378124],"study_design_scores_gemma":[0.0003343696,0.000223304,0.005383702,0.9044058,0.04802027,0.0002063948,0.0005813275,0.0002633837,0.0003361518,0.00180837,0.03834173,0.00009520831],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001344334,0.9705901,0.002947342,0.01536411,0.004212632,0.003092798,0.001714582,0.000139046,0.0005950734],"genre_scores_gemma":[0.0252633,0.9131119,0.02228617,0.02354146,0.002131578,0.01078089,0.001956149,0.0001477092,0.0007809689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8530269,"threshold_uncertainty_score":0.7772774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9459253161881139,"score_gpt":0.7401222477374151,"score_spread":0.2058030684506988,"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."}}