{"id":"W2769587678","doi":"10.1503/cjs.000317","title":"Users’ guide to the surgical literature: how to assess a noninferiority trial","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre; Simon Fraser University; Hamilton Health Sciences; University of Ottawa","funders":"","keywords":"Medicine; Randomized controlled trial; Margin (machine learning); Intervention (counseling); Psychological intervention; Research design; Null hypothesis; Medical physics; Physical therapy; Surgery; Statistics; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.1369964,0.00422941,0.009801895,0.01937257,0.001616933,0.00958778,0.007040823,0.0085095,0.2385281],"category_scores_gemma":[0.5710366,0.004055118,0.01019489,0.02092689,0.003224939,0.00769525,0.005797421,0.008352658,0.08195669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138288,"about_ca_system_score_gemma":0.02009143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004262845,"about_ca_topic_score_gemma":0.009588432,"domain_scores_codex":[0.8590983,0.0864543,0.03415707,0.002724284,0.01675446,0.000811613],"domain_scores_gemma":[0.3402199,0.5391006,0.01718255,0.01819186,0.08048637,0.00481871],"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":[0.001137069,0.0001408039,0.0007086782,0.04307097,0.001000525,0.0002171435,0.000632206,0.0005729196,0.0003021364,0.007432985,0.766515,0.1782695],"study_design_scores_gemma":[0.004293622,0.0004045604,0.001896121,0.0526493,0.001878889,0.000486462,0.0007100718,0.00307988,0.0006720728,0.03627776,0.8972688,0.0003825288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002100929,0.08067664,0.2828297,0.08868191,0.03831105,0.1680493,0.1869657,0.03653605,0.1158485],"genre_scores_gemma":[0.004873801,0.01812544,0.7869905,0.02348422,0.004530104,0.1224383,0.0104596,0.007268992,0.02182908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8630036,"threshold_uncertainty_score":0.7979561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7840485191037525,"score_gpt":0.5203484428941209,"score_spread":0.2637000762096317,"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."}}