{"id":"W4376639947","doi":"10.1007/s00167-023-07419-7","title":"A guide to appropriately planning and conducting meta‐analyses: part 3. Special considerations—the network meta‐analysis","year":2023,"lang":"en","type":"review","venue":"Knee Surgery Sports Traumatology Arthroscopy","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Meta-analysis; Network analysis; Outcome (game theory); Computer science; Foundation (evidence); Management science; Medicine; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1225451,0.005304269,0.006861337,0.01245621,0.00137611,0.006937039,0.008023091,0.007160303,0.03290392],"category_scores_gemma":[0.3341461,0.006883579,0.009872232,0.009508657,0.003491606,0.005836836,0.003999427,0.01630844,0.02143577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797168,"about_ca_system_score_gemma":0.01967132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005724897,"about_ca_topic_score_gemma":0.01172105,"domain_scores_codex":[0.9064707,0.06900224,0.01449781,0.001777068,0.007847931,0.0004042476],"domain_scores_gemma":[0.6798141,0.2645863,0.01050203,0.01034841,0.03255495,0.002194323],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004029101,0.0001435811,0.0005637504,0.03706183,0.001995759,0.0005466492,0.001006605,0.005485086,0.0009217724,0.02963451,0.6390372,0.2832004],"study_design_scores_gemma":[0.0008433444,0.0003149285,0.001505163,0.04547381,0.001562231,0.001237765,0.0003321914,0.007017915,0.0009561079,0.1417262,0.7986739,0.000356547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000610862,0.1628337,0.6747163,0.07283808,0.02247766,0.02391785,0.01749413,0.007873043,0.01723839],"genre_scores_gemma":[0.001963533,0.05385827,0.9003727,0.009256209,0.004399518,0.02107298,0.002276412,0.001225407,0.005574965],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8774549,"threshold_uncertainty_score":0.648088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9300964890946807,"score_gpt":0.5961460411222498,"score_spread":0.3339504479724309,"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."}}