{"id":"W3217524044","doi":"10.1136/bmj.n2833","title":"Can we trust strong recommendations based on low quality evidence?","year":2021,"lang":"en","type":"editorial","venue":"BMJ","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Agency for Healthcare Research and Quality","keywords":"Harm; Quality (philosophy); Quality of evidence; Trustworthiness; Certainty; Medicine; Scientific evidence; Actuarial science; Evidence-based medicine; Risk analysis (engineering); Adverse effect; Psychology; Business; Alternative medicine; Social psychology; Randomized controlled trial; Surgery","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":[0.1661634,0.002845628,0.00852641,0.008478859,0.003165734,0.01877564,0.008826101,0.03877664,0.012314],"category_scores_gemma":[0.681523,0.003444432,0.00505698,0.005165939,0.009991921,0.0238594,0.005877736,0.05531872,0.0121452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00629847,"about_ca_system_score_gemma":0.01688032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003361994,"about_ca_topic_score_gemma":0.005887599,"domain_scores_codex":[0.8064861,0.101784,0.03391265,0.005615072,0.04978029,0.002421843],"domain_scores_gemma":[0.3223266,0.5173549,0.03631731,0.01812133,0.09460135,0.01127851],"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":[0.0002621329,0.0000357971,0.0001851333,0.01196262,0.001158446,0.0002579092,0.0007302089,0.0001600543,0.0001341264,0.005277862,0.901554,0.07828169],"study_design_scores_gemma":[0.000934943,0.0001178764,0.0005233093,0.03664763,0.001545613,0.0003486401,0.0004729153,0.0008667874,0.0002968536,0.04446679,0.9135652,0.0002134294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0001649985,0.05409131,0.002445688,0.5218149,0.4172427,0.0003395437,0.0001749092,0.0001855586,0.003540459],"genre_scores_gemma":[0.006500272,0.08876439,0.01144134,0.3801646,0.5047817,0.000908409,0.0002031689,0.0004219634,0.00681415],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.8338366,"threshold_uncertainty_score":0.8787668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3820474723900231,"score_gpt":0.5828790938370416,"score_spread":0.2008316214470185,"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."}}