{"id":"W3095503508","doi":"10.2196/21982","title":"User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Chatbot; Quality (philosophy); User experience design; Health care; Survey research; Questionnaire; Computer science; Psychology; Medicine; Applied psychology; Medical education; World Wide Web; Human–computer interaction; Statistics","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":[0.01036712,0.0004923825,0.0007913327,0.001937464,0.0007368585,0.001016765,0.0005037378,0.0008114657,0.003317855],"category_scores_gemma":[0.01964768,0.0006009684,0.001001964,0.001522522,0.0009769598,0.001928869,0.001109868,0.0009400075,0.0009253007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007089735,"about_ca_system_score_gemma":0.0005473955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189483,"about_ca_topic_score_gemma":0.001385503,"domain_scores_codex":[0.9915056,0.00490638,0.0008903301,0.0007025567,0.001360422,0.0006346708],"domain_scores_gemma":[0.9757225,0.01222968,0.005213359,0.0009544154,0.003450801,0.002429234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.006897032,0.006570736,0.9595053,0.0002487958,0.0001933433,0.0003801286,0.01001556,0.00007847042,0.0009161312,0.00006606384,0.0002517575,0.01487679],"study_design_scores_gemma":[0.0003656755,0.0584409,0.9292375,0.00007146656,0.0001565887,0.00064827,0.009259982,0.0004269936,0.0004965321,0.0000393217,0.000782281,0.00007444441],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991943,0.00009598018,0.0001327259,0.00001044017,0.000006301787,0.0001841875,0.0000693144,0.000002811375,0.0003039509],"genre_scores_gemma":[0.9986337,0.00009684599,0.0003660694,0.00005450155,0.00002055797,0.0004066755,0.0001377372,0.000004964455,0.0002789318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036712,"threshold_uncertainty_score":0.05482715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644480733571441,"score_gpt":0.4608113333162743,"score_spread":0.2963632599591302,"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."}}