{"id":"W2890701332","doi":"10.1186/s40900-018-0118-y","title":"Engaging knowledge users in development of the CONSORT-Equity 2017 reporting guideline: a qualitative study using in-depth interviews","year":2018,"lang":"en","type":"article","venue":"Research Involvement and Engagement","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Queen's University; Bruyère; University of Ottawa","funders":"Canadian Institutes of Health Research; Bruyère Research Institute","keywords":"Equity (law); Qualitative research; Guideline; Psychology; Knowledge management; Sociology; Computer science; Political science; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06776861,0.001099055,0.00136253,0.003417226,0.0121336,0.005174263,0.002808584,0.004196128,0.003801974],"category_scores_gemma":[0.09119449,0.001278967,0.0009719391,0.003217166,0.01391348,0.009077837,0.009226603,0.00557572,0.00105413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007681946,"about_ca_system_score_gemma":0.01169664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007147558,"about_ca_topic_score_gemma":0.007451197,"domain_scores_codex":[0.9356164,0.05430283,0.001540659,0.002066589,0.002399369,0.004074187],"domain_scores_gemma":[0.8375914,0.1398128,0.004821425,0.003348821,0.009014643,0.005410958],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003452176,0.00004168283,0.0007701042,0.0001743813,0.000002857278,0.0004378232,0.991366,0.00006368219,0.0005239114,0.001076726,0.0007008897,0.004807489],"study_design_scores_gemma":[0.00001254861,0.00007039558,0.000456285,0.0003978671,0.000005247597,0.0002014558,0.9829311,0.0002588898,0.0004861767,0.001349815,0.0138007,0.00002951069],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126744,0.001868316,0.05134255,0.01571906,0.0003594453,0.004734144,0.0009203913,0.000196344,0.01218537],"genre_scores_gemma":[0.9597246,0.001818386,0.01988604,0.005912872,0.00009963445,0.007046449,0.0002644141,0.0001594555,0.005088175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9322314,"threshold_uncertainty_score":0.358399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8877683984095364,"score_gpt":0.6843097920125665,"score_spread":0.2034586063969699,"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."}}