{"id":"W4366386740","doi":"10.1136/bmjebm-2022-112136","title":"Implementing hierarchical network meta-analysis incorporating exchangeable dose effects compared to standard hierarchical network meta-analysis","year":2023,"lang":"en","type":"article","venue":"BMJ evidence-based medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Calgary; St. Michael's Hospital","funders":"Medical Research Council","keywords":"Meta-analysis; Network analysis; Computer science; Multilevel model; Medicine; Internal medicine; Engineering; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08658935,0.003261871,0.006312381,0.004001646,0.0008876738,0.003967729,0.003855155,0.00244741,0.01241065],"category_scores_gemma":[0.2457097,0.002409829,0.01676557,0.003486271,0.0007608533,0.005655884,0.004759203,0.004557876,0.0007898397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179851,"about_ca_system_score_gemma":0.004457016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00905247,"about_ca_topic_score_gemma":0.01174182,"domain_scores_codex":[0.8674901,0.1204366,0.004542232,0.004249216,0.002737222,0.000544755],"domain_scores_gemma":[0.8289711,0.1534706,0.003420967,0.01078366,0.002724544,0.0006290171],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02112908,0.0008158832,0.01079883,0.02508895,0.330586,0.0006691461,0.00106661,0.2625389,0.001813849,0.03744081,0.01124387,0.2968082],"study_design_scores_gemma":[0.01632086,0.002515961,0.004297286,0.002398586,0.1651163,0.0002464213,0.0001850953,0.6608269,0.001635499,0.1356524,0.01049749,0.0003073376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02235735,0.01140542,0.9508182,0.002640032,0.001404116,0.003667185,0.002247545,0.002418253,0.003041876],"genre_scores_gemma":[0.2597193,0.002114608,0.7288379,0.0009819353,0.0003145084,0.005023648,0.001122738,0.0006026257,0.001282708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9134107,"threshold_uncertainty_score":0.4579337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8066750011977708,"score_gpt":0.5551599690728524,"score_spread":0.2515150321249184,"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."}}