{"id":"W4378650250","doi":"10.2196/preprints.49132","title":"A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Public Health Ontario; University of Toronto","funders":"","keywords":"Chatbot; Conversation; Motivational interviewing; Psychology; Ambivalence; Social psychology; Psychological intervention; Computer science; World Wide Web; Communication","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":[0.01407141,0.0005852841,0.0004388895,0.0008155482,0.00137875,0.001295564,0.001282095,0.0007177893,0.002222436],"category_scores_gemma":[0.02182988,0.0007186661,0.0006400311,0.0003777987,0.0007800232,0.001064705,0.002225413,0.001098445,0.0005134199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213336,"about_ca_system_score_gemma":0.002748535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236463,"about_ca_topic_score_gemma":0.002239047,"domain_scores_codex":[0.9956196,0.003157338,0.0001868081,0.0003080089,0.0003750156,0.0003532195],"domain_scores_gemma":[0.9833618,0.01217404,0.0006380231,0.0006480603,0.00164707,0.001531039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001354265,0.03983617,0.0840397,0.002182014,0.0001661555,0.001255938,0.4610521,0.001566607,0.01754585,0.002914535,0.005462036,0.3826247],"study_design_scores_gemma":[0.003628917,0.09798541,0.38846,0.002550368,0.001327285,0.001638197,0.3352339,0.0276132,0.06417131,0.003992817,0.07268889,0.000709641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897264,0.00004305072,0.005531488,0.0001889348,0.00002185671,0.002301717,0.00004481633,0.0001104286,0.002031393],"genre_scores_gemma":[0.9282554,0.0001890144,0.06092567,0.0003376474,0.00002468291,0.006634362,0.000218583,0.0000836106,0.003331104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407141,"threshold_uncertainty_score":0.07441765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2979101404683741,"score_gpt":0.3960365031769907,"score_spread":0.09812636270861663,"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."}}