{"id":"W2067164643","doi":"10.2196/mhealth.3250","title":"ClereMed: Lessons Learned From a Pilot Study of a Mobile Screening Tool to Identify and Support Adults Who Have Difficulty With Medication Labels","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communitech; McMaster University; University of Waterloo","funders":"University of Waterloo","keywords":"Usability; Cognition; Medical prescription; Reading (process); Literacy; Pharmacy; Medicine; Psychology; Computer science; Family medicine; Human–computer interaction; Nursing; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01671506,0.001396904,0.001019844,0.0009361026,0.001095073,0.002581972,0.003142903,0.001827488,0.003124908],"category_scores_gemma":[0.03262472,0.0004640903,0.0009345132,0.0002930879,0.001524812,0.003621162,0.002936159,0.002497956,0.0008277261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392635,"about_ca_system_score_gemma":0.003631686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004271387,"about_ca_topic_score_gemma":0.01244532,"domain_scores_codex":[0.9922922,0.005060134,0.0004198919,0.0005668603,0.001045633,0.0006151939],"domain_scores_gemma":[0.9808853,0.01298221,0.0003814924,0.0008406394,0.003175776,0.001734552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009815802,0.0262745,0.03072534,0.0047588,0.0001812897,0.004064172,0.05786576,0.001165268,0.0135918,0.001251017,0.02902936,0.830111],"study_design_scores_gemma":[0.0046877,0.1216637,0.155895,0.0140256,0.001668891,0.01378529,0.2406564,0.02148916,0.04785291,0.006023847,0.370862,0.001389495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137725,0.003307505,0.03863699,0.01228445,0.0007751599,0.01238742,0.000838298,0.001277013,0.01672064],"genre_scores_gemma":[0.6973075,0.005873456,0.2661576,0.007459885,0.000362474,0.007789794,0.001041525,0.0004843939,0.01352336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01671506,"threshold_uncertainty_score":0.08839875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531910283364523,"score_gpt":0.4972171585056143,"score_spread":0.344026130169162,"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."}}