{"id":"W2132597762","doi":"10.1016/j.ijpharm.2013.11.024","title":"Public engagement workshop: How to improve medicines for older people?","year":2013,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Research Councils UK; Age UK; Alzheimer Society","keywords":"Pharmacy; Medicine; Agency (philosophy); Session (web analytics); Public health; Presentation (obstetrics); Health care; Medical education; Public relations; Nursing; Political science; Sociology; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02623461,0.001264219,0.0008374773,0.0006917369,0.00798767,0.008117035,0.001981478,0.02212498,0.01838214],"category_scores_gemma":[0.02347876,0.0005671989,0.002073051,0.0005315606,0.00277263,0.007916237,0.01735009,0.02242617,0.00283702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004746008,"about_ca_system_score_gemma":0.0303315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007854,"about_ca_topic_score_gemma":0.007280343,"domain_scores_codex":[0.9908462,0.005121998,0.0003596711,0.0004492855,0.0007533349,0.002469433],"domain_scores_gemma":[0.9680285,0.006683445,0.001360414,0.0004760782,0.002334591,0.02111692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.001421818,0.006145316,0.008354537,0.001958559,0.0002598855,0.003041273,0.02192772,0.0004246293,0.002050442,0.009382573,0.7799802,0.165053],"study_design_scores_gemma":[0.001535995,0.001757203,0.01996511,0.003531997,0.0002915624,0.0007100744,0.08157567,0.0005604411,0.002081769,0.01914387,0.8686224,0.0002239381],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01818431,0.002723035,0.0007533041,0.952309,0.01647359,0.0002652557,0.0002621432,0.00006401016,0.008965301],"genre_scores_gemma":[0.3255541,0.007450839,0.004789443,0.5862846,0.02321374,0.0020485,0.0007836981,0.000159332,0.04971578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02623461,"threshold_uncertainty_score":0.1387435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2137497812233994,"score_gpt":0.4604110975164692,"score_spread":0.2466613162930698,"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."}}