{"id":"W1966561347","doi":"10.1186/1741-7015-12-93","title":"A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer","year":2014,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto East General Hospital","funders":"","keywords":"Medicine; Pooling; Everolimus; Breast cancer; Hormonal therapy; Randomized controlled trial; Population; Process (computing); Meta-analysis; Risk analysis (engineering); Intensive care medicine; Oncology; Cancer; Computer science; Internal medicine; Artificial intelligence","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":["metaresearch"],"category_scores_codex":[0.468043,0.003209548,0.004033334,0.007616105,0.005274815,0.008112908,0.005227763,0.00808019,0.006093024],"category_scores_gemma":[0.6450624,0.003128771,0.01271262,0.006021949,0.005888149,0.008839021,0.01025571,0.01331198,0.0009940735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007963626,"about_ca_system_score_gemma":0.02735281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006222743,"about_ca_topic_score_gemma":0.008836924,"domain_scores_codex":[0.4491875,0.5092971,0.01608115,0.00630754,0.01797148,0.001155114],"domain_scores_gemma":[0.1937013,0.7579741,0.01452432,0.01813546,0.01427811,0.001386736],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004783766,0.001286332,0.01851036,0.01703834,0.01013072,0.004966298,0.01918238,0.1659693,0.004701438,0.4201682,0.01718308,0.3160799],"study_design_scores_gemma":[0.004740615,0.002061564,0.003388245,0.01088784,0.005557131,0.002077168,0.003089914,0.2594406,0.006795092,0.6481202,0.05311278,0.0007287406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01267872,0.002127615,0.9495717,0.01667923,0.0003224907,0.01355268,0.0005936962,0.0003545886,0.004119294],"genre_scores_gemma":[0.02330402,0.0003090872,0.9700815,0.0006408276,0.00004040477,0.005351538,0.00007327546,0.0000449647,0.0001543054],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.531957,"threshold_uncertainty_score":0.6559977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7566266008168778,"score_gpt":0.5838426294712363,"score_spread":0.1727839713456415,"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."}}