{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00123686,0.0004198055,0.0005604217,0.0004821015,0.001066822,0.0005923046,0.0003083936,0.00009115176,0.000557358],"category_scores_gemma":[0.0002340168,0.0003270477,0.00008214365,0.0001104339,0.0000701044,0.0002012634,0.0005158442,0.0004459477,0.00006046124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004502516,"about_ca_system_score_gemma":0.0007430131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236936,"about_ca_topic_score_gemma":0.03939721,"domain_scores_codex":[0.9973583,0.0001668883,0.0007637601,0.0008777059,0.0004194784,0.0004138298],"domain_scores_gemma":[0.9979042,0.0003604291,0.0002758127,0.0003757581,0.0009182745,0.0001655309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002518069,0.0004876832,0.01200936,0.000521369,0.0008379119,0.0000123886,0.9292579,0.001929958,0.0000308559,0.04995952,0.001904491,0.002796789],"study_design_scores_gemma":[0.005655661,0.005078748,0.09861915,0.01276616,0.0006969237,0.00003004642,0.5945857,0.001735015,0.002377472,0.02072392,0.2517056,0.006025634],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947679,0.00002250394,0.03363968,0.002383823,0.001669208,0.006296981,0.0000924528,0.0004256356,0.007790666],"genre_scores_gemma":[0.961003,0.00000633428,0.01694265,0.001781213,0.001767233,0.007833325,0.0003115849,0.0001000605,0.01025461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3346722,"threshold_uncertainty_score":0.9999182,"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."}}