{"id":"W4389069344","doi":"10.2196/41323","title":"Reflecting on Decades of Data: The Global Burden of Disease–Cochrane Project","year":2023,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pfizer","keywords":"Burden of disease; Medicine; Disease; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907463,0.0001324456,0.0003957159,0.0001617711,0.0001296206,0.00002002267,0.0007318546,0.00009945573,0.00001939722],"category_scores_gemma":[0.0009302004,0.00009043257,0.00006289894,0.0010779,0.0001828412,0.0002693843,0.0005740554,0.0001258199,0.00011909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001769664,"about_ca_system_score_gemma":0.00008068536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004127747,"about_ca_topic_score_gemma":0.0001013004,"domain_scores_codex":[0.9984689,0.00008241016,0.000524274,0.0002708503,0.0001731918,0.000480413],"domain_scores_gemma":[0.9985278,0.0003502118,0.0003833209,0.0006154132,0.0001045312,0.00001875359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000160909,0.00005792814,0.03198113,0.001542403,0.00006195526,0.00002500467,0.00008212562,0.000505354,0.00001983467,0.1838613,0.7794381,0.002263988],"study_design_scores_gemma":[0.0004744827,0.00002120036,0.03224341,0.0001201749,0.0000442612,0.00002025826,0.0007854217,0.01855582,0.000004565979,0.009696021,0.9378788,0.0001555975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.797869,0.0002738376,0.00003563574,0.1754921,0.0006212683,0.0008059886,0.00009144947,0.0002332803,0.0245774],"genre_scores_gemma":[0.9923521,0.00006210796,0.00003652488,0.006805959,0.0005338688,0.00004013304,0.000124072,0.00001169547,0.00003353127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944831,"threshold_uncertainty_score":0.6239946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504629591499174,"score_gpt":0.4584308251413369,"score_spread":0.3079678659914195,"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."}}