{"id":"W4378806110","doi":"10.1136/bmjebm-2022-112200","title":"Plain language summaries: enhancing patient-centred care and improving accessibility of health research","year":2023,"lang":"en","type":"article","venue":"BMJ evidence-based medicine","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Stroke Network; University Health Network; University of British Columbia","funders":"","keywords":"Plain language; Health care; Medicine; Computer science; Nursing; Political science","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":["scholarly_communication"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication","open_science"],"domain":null,"study_design":"not_applicable","genre":"commentary","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":[],"category_scores_codex":[0.02136286,0.0004633498,0.00110165,0.002401738,0.0007962184,0.005294188,0.00110346,0.001981834,0.0228172],"category_scores_gemma":[0.2030685,0.0006100397,0.001001911,0.001749175,0.0005271834,0.006600228,0.003947752,0.001874779,0.004209535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971617,"about_ca_system_score_gemma":0.003854529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008482824,"about_ca_topic_score_gemma":0.002424264,"domain_scores_codex":[0.9759426,0.01650334,0.003943908,0.0005802973,0.002717838,0.0003120937],"domain_scores_gemma":[0.8163881,0.1363764,0.02446415,0.005856057,0.01051154,0.006403712],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00193452,0.001377093,0.01655444,0.01058473,0.000295637,0.0006382447,0.007008804,0.0004432798,0.001699063,0.003392717,0.1590142,0.7970573],"study_design_scores_gemma":[0.006304958,0.007673251,0.2021435,0.03025682,0.003341284,0.008204596,0.01640307,0.004232473,0.01041277,0.05639978,0.6536586,0.000968908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3049416,0.07393675,0.09416919,0.3396218,0.008811609,0.004696914,0.009851387,0.008189313,0.1557814],"genre_scores_gemma":[0.6196991,0.0612116,0.2428375,0.04031309,0.00859252,0.002720984,0.004500221,0.0009844977,0.01914055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786372,"threshold_uncertainty_score":0.1129789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.264962570399348,"score_gpt":0.5450406684158028,"score_spread":0.2800780980164548,"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."}}