{"id":"W2167595198","doi":"10.1186/1741-7015-11-7","title":"Support of personalized medicine through risk-stratified treatment recommendations - an environmental scan of clinical practice guidelines","year":2013,"lang":"en","type":"article","venue":"BMC Medicine","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Starr Foundation; National Center for Research Resources; Atlantic Philanthropies; National Institute on Aging; Hartford Foundation for Public Giving; John A. Hartford Foundation","keywords":"Medicine; Guideline; Observational study; Randomized controlled trial; Risk assessment; Evidence-based medicine; MEDLINE; Family medicine; Clinical trial; Intensive care medicine; Physical therapy; Alternative medicine; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004946759,0.0003649495,0.001540523,0.0001492031,0.00009149211,0.000005367611,0.0001996191,0.0001973965,0.01818699],"category_scores_gemma":[0.04285562,0.0002468196,0.0002403438,0.0002706527,0.001038203,0.0006787955,0.00005387967,0.0003407097,0.00007251957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319661,"about_ca_system_score_gemma":0.0005574598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008309554,"about_ca_topic_score_gemma":0.0002904808,"domain_scores_codex":[0.9911715,0.0008457773,0.005978478,0.0006465002,0.001043618,0.0003141756],"domain_scores_gemma":[0.9884908,0.005888528,0.003166865,0.001017932,0.001013099,0.000422736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004734049,0.007080549,0.1905821,0.0003334859,0.001652046,0.00003787694,0.007191285,0.00002103341,0.01882878,0.00119448,0.3897453,0.378599],"study_design_scores_gemma":[0.06504338,0.04547666,0.2118623,0.0008783102,0.009645668,0.0004744385,0.0827397,0.003157686,0.001863464,0.001550747,0.5765578,0.0007498531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.763514,0.00153153,0.01211131,0.2030208,0.002017791,0.004898048,0.0002842528,0.0001514695,0.01247078],"genre_scores_gemma":[0.7022212,0.01037023,0.2649751,0.01288912,0.00364217,0.0001862753,0.003266518,0.0001044772,0.002344908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778492,"threshold_uncertainty_score":0.9999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5542573529313942,"score_gpt":0.6009357037494374,"score_spread":0.04667835081804317,"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."}}