{"id":"W3088518226","doi":"10.1016/j.jclinepi.2020.07.022","title":"Supporting effective participation in health guideline development groups: The Guideline Participant Tool","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; Cochrane","funders":"","keywords":"Guideline; Grading (engineering); Medicine; Psychology; Knowledge translation; Medical education; Applied psychology; Family medicine; Computer science; Engineering; Knowledge management; Pathology","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":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.286525,0.00230245,0.002050022,0.00868379,0.003480608,0.006412316,0.004422846,0.005245436,0.008450772],"category_scores_gemma":[0.4794456,0.001744519,0.003599441,0.004637726,0.004023965,0.01245711,0.0142439,0.004962638,0.00488379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003750921,"about_ca_system_score_gemma":0.02531116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292656,"about_ca_topic_score_gemma":0.003693964,"domain_scores_codex":[0.6432232,0.3011029,0.03046181,0.004696875,0.01681994,0.003695199],"domain_scores_gemma":[0.4315252,0.4387521,0.03403487,0.02325835,0.06047319,0.0119563],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008998772,0.001484018,0.03047298,0.01695948,0.0003647861,0.0009977266,0.1094889,0.000666144,0.003278952,0.006319731,0.07876531,0.7503021],"study_design_scores_gemma":[0.005220807,0.007259985,0.0597661,0.06107445,0.002116972,0.004058004,0.1168107,0.005243965,0.01391901,0.05063607,0.6721652,0.001728686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1985839,0.007532859,0.457012,0.1163287,0.006682458,0.1165428,0.007749385,0.009651544,0.07991648],"genre_scores_gemma":[0.1422013,0.00262798,0.7575657,0.009049565,0.0005856336,0.08282828,0.001775597,0.0004781972,0.002887855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.713475,"threshold_uncertainty_score":0.8798417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6625583741484894,"score_gpt":0.6702799736686993,"score_spread":0.007721599520209899,"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."}}