{"id":"W4385827554","doi":"10.2196/42506","title":"A Beta-Prototype Chatbot for Increasing Health Literacy of Patients With Decompensated Cirrhosis: Usability Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Health literacy; Digital health; Chatbot; Medicine; Literacy; Health care; Health informatics; Psychology; Nursing; Computer science; Public health; World Wide Web; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009158119,0.0005863718,0.0005873277,0.0007415903,0.0005782284,0.0009595,0.0007518865,0.0007077492,0.002577788],"category_scores_gemma":[0.02076058,0.0003230941,0.0005624839,0.0002699569,0.0006413553,0.001170238,0.001343945,0.000545818,0.0003700836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000562933,"about_ca_system_score_gemma":0.0008076198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007801861,"about_ca_topic_score_gemma":0.001548875,"domain_scores_codex":[0.997224,0.001946226,0.000201408,0.0001906386,0.0002243822,0.0002134772],"domain_scores_gemma":[0.9835329,0.01267153,0.0005030626,0.0006143997,0.001601252,0.001076824],"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":[0.009972327,0.04187303,0.158207,0.01020891,0.0005727391,0.004376893,0.137699,0.002590291,0.0305108,0.0009335498,0.01579791,0.5872575],"study_design_scores_gemma":[0.007375694,0.2533119,0.5109434,0.004087022,0.001333476,0.007034316,0.100333,0.02516493,0.02110103,0.001087771,0.06753894,0.0006886041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950609,0.0001594685,0.002119755,0.0002050016,0.00002882868,0.00144129,0.0001314282,0.0001268404,0.0007265614],"genre_scores_gemma":[0.9779568,0.0003682598,0.01640622,0.0004466573,0.00005081659,0.003015811,0.0003108414,0.00005568765,0.001388933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009158119,"threshold_uncertainty_score":0.04843336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08858065482237676,"score_gpt":0.4784613274442768,"score_spread":0.3898806726219,"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."}}