{"id":"W4391941609","doi":"10.1016/j.chpulm.2024.100041","title":"Who Drives Pulmonology Evidence Synthesis?","year":2024,"lang":"en","type":"article","venue":"CHEST Pulmonary","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulmonology; Internal medicine; Medicine; Computer science; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2883927,0.00182557,0.01267372,0.02378361,0.002295947,0.0293371,0.006766549,0.009950576,0.02744568],"category_scores_gemma":[0.70061,0.003391891,0.006133102,0.01975909,0.007726594,0.02495455,0.01031863,0.009772942,0.004978661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0202748,"about_ca_system_score_gemma":0.04951356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007500227,"about_ca_topic_score_gemma":0.01497353,"domain_scores_codex":[0.6052918,0.2496022,0.09095842,0.01610132,0.03423072,0.003815562],"domain_scores_gemma":[0.1812366,0.6958718,0.0455505,0.01716773,0.05374068,0.006432727],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.000711717,0.00007912637,0.004488563,0.4667789,0.008517751,0.000221761,0.003300337,0.000491078,0.0001776611,0.02455528,0.1342913,0.3563865],"study_design_scores_gemma":[0.0004458918,0.0001328133,0.002176176,0.7871961,0.0051365,0.0002724242,0.00235593,0.0005093799,0.0001578438,0.03497776,0.1665361,0.0001031755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.000729771,0.7721405,0.001988413,0.2092482,0.0116476,0.0005234006,0.001218779,0.0001084994,0.002394861],"genre_scores_gemma":[0.05489388,0.7119545,0.01710427,0.1793219,0.02903773,0.003979453,0.001991328,0.0004748706,0.001242026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7116073,"threshold_uncertainty_score":0.8775386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307315216672114,"score_gpt":0.3184915144371786,"score_spread":0.2877599927699672,"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."}}