{"id":"W4400108006","doi":"10.1136/bmj.q1411","title":"Conferences led by patients facilitate democratic decision making in healthcare","year":2024,"lang":"en","type":"letter","venue":"BMJ","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Democracy; Health care; Computer science; Data science; Medicine; Political science; Politics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.02588815,0.0009176701,0.001154458,0.001070294,0.01951909,0.01797697,0.003725785,0.1588013,0.03751376],"category_scores_gemma":[0.1002768,0.001722419,0.001582182,0.0008643141,0.01161805,0.01560077,0.01403477,0.09087279,0.009239763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00794562,"about_ca_system_score_gemma":0.02036564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01112995,"about_ca_topic_score_gemma":0.02906721,"domain_scores_codex":[0.9699042,0.01502354,0.00169291,0.001353257,0.005625904,0.006400161],"domain_scores_gemma":[0.879499,0.08739244,0.003984782,0.002624991,0.007289862,0.01920885],"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":[0.0001249976,0.0001119053,0.001215216,0.0001370565,0.00002142221,0.002317496,0.002556806,0.0001090546,0.000536485,0.0268269,0.9540569,0.01198577],"study_design_scores_gemma":[0.0003005046,0.000119551,0.003254147,0.0004550181,0.00002962211,0.001333949,0.007323017,0.0005200406,0.0004387042,0.03464163,0.9514688,0.0001152043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007663217,0.0003076367,0.0002153845,0.9804243,0.005650238,0.00002638242,0.0000127324,0.00002065433,0.01257634],"genre_scores_gemma":[0.01725186,0.0004457916,0.0005799172,0.9393936,0.01781597,0.0001179522,0.00001731949,0.00004957522,0.024328],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1588013,"threshold_uncertainty_score":0.1369112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06670770681639476,"score_gpt":0.4734935022154226,"score_spread":0.4067857953990278,"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."}}