{"id":"W4220820710","doi":"10.1136/bmjopen-2021-053246","title":"Defining decision thresholds for judgments on health benefits and harms using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision (EtD) frameworks: a protocol for a randomised methodological study (GRADE-THRESHOLD)","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; Cochrane","funders":"","keywords":"Medicine; Grading (engineering); Guideline; Protocol (science); Psychological intervention; Applied psychology; Consistency (knowledge bases); Transparency (behavior); Research ethics; External validity; Evidence-based medicine; Decision aids; Medical education; Alternative medicine; Psychology; Nursing; Social psychology; Computer science; Pathology; 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":[0.525848,0.004491157,0.01089827,0.01941556,0.004332465,0.01159423,0.009143034,0.01444638,0.02436207],"category_scores_gemma":[0.73852,0.00456101,0.0227466,0.01688683,0.007389819,0.01214415,0.01028676,0.02053214,0.008497625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01529158,"about_ca_system_score_gemma":0.0469223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003700362,"about_ca_topic_score_gemma":0.005226124,"domain_scores_codex":[0.3256382,0.4807271,0.1453658,0.008925565,0.03530155,0.004041718],"domain_scores_gemma":[0.3000558,0.4021691,0.0842091,0.05109812,0.1563768,0.006091042],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.02032935,0.00161046,0.004938627,0.2192547,0.007182145,0.0004255712,0.01062238,0.005506248,0.001994265,0.0809637,0.2110384,0.4361342],"study_design_scores_gemma":[0.04903828,0.00504096,0.01144276,0.2574129,0.00987026,0.000661612,0.004129444,0.02823857,0.009805193,0.2402974,0.3815348,0.002528008],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002991342,0.00487341,0.1281833,0.009456299,0.005585744,0.8301578,0.007823221,0.001233373,0.009695594],"genre_scores_gemma":[0.006394314,0.001377863,0.2305663,0.001174045,0.0001795266,0.7585355,0.001120859,0.0001407425,0.0005108276],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.474152,"threshold_uncertainty_score":0.5847139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8678622482246573,"score_gpt":0.6655488402877275,"score_spread":0.2023134079369298,"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."}}