{"id":"W7117138160","doi":"10.1111/jebm.70098","title":"Challenges Facing Evidence‐Synthesis and Clinical Practice Guidelines, and Their Solutions: Restoring Balance Through Core GRADE","year":2025,"lang":"en","type":"article","venue":"Journal of Evidence-Based Medicine","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Clinical Practice; Core (optical fiber); Balance (ability); Component (thermodynamics); Key (lock); Core stability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01987739,0.0003244077,0.001198595,0.0003210007,0.0002052826,0.0000354996,0.0002197136,0.0002102922,0.00003782006],"category_scores_gemma":[0.4581867,0.0001986867,0.0001873727,0.0004445457,0.0005031949,0.001700496,0.0001227404,0.001046735,0.000002071531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002284938,"about_ca_system_score_gemma":0.001147819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002197433,"about_ca_topic_score_gemma":0.00004915143,"domain_scores_codex":[0.9936431,0.0006836756,0.003893289,0.0005049998,0.0009063468,0.0003686048],"domain_scores_gemma":[0.9371377,0.05654236,0.002155748,0.0005546758,0.003267501,0.0003420064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006934303,0.0006686541,0.05651887,0.00199376,0.001200239,0.0005103174,0.001238519,0.00008020663,0.007478368,0.001158693,0.07038558,0.8518325],"study_design_scores_gemma":[0.02251584,0.01401528,0.1995508,0.246246,0.01499016,0.00521518,0.04691453,0.0115506,0.002295027,0.007428212,0.4280342,0.001244218],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04325209,0.2544661,0.01655325,0.6835593,0.001370028,0.0005636957,0.000002636716,0.0000392088,0.0001937125],"genre_scores_gemma":[0.5244402,0.4019704,0.04853741,0.02228943,0.002638916,0.00001650531,0.000001915001,0.00002970818,0.00007553806],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8505883,"threshold_uncertainty_score":0.8102208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.809906837804852,"score_gpt":0.6039205569126929,"score_spread":0.2059862808921591,"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."}}