{"id":"W4385376818","doi":"10.2196/49132","title":"A Motivational Interviewing Chatbot With Generative Reflections for Increasing Readiness to Quit Smoking: Iterative Development Study","year":2023,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":42,"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; Intrapersonal communication; Smoking cessation; Applied psychology; Social psychology; Psychological intervention; Computer science; Medicine; Artificial intelligence; Communication; Interpersonal communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01669575,0.0007831563,0.0004874163,0.001400349,0.001598491,0.00117871,0.001597567,0.0007930864,0.001361909],"category_scores_gemma":[0.0271617,0.0006653398,0.0007473767,0.0004623679,0.00103645,0.001166024,0.002853308,0.001149478,0.0003690413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555375,"about_ca_system_score_gemma":0.003100174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008605742,"about_ca_topic_score_gemma":0.001795257,"domain_scores_codex":[0.9937658,0.004539552,0.0002076407,0.0003906022,0.000562272,0.0005340666],"domain_scores_gemma":[0.9787762,0.01494099,0.000747309,0.001054044,0.00247059,0.002010893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.001066481,0.03013085,0.07042252,0.001525833,0.0001703692,0.002217346,0.3885229,0.002509354,0.0195295,0.004032555,0.003159655,0.4767126],"study_design_scores_gemma":[0.003644223,0.08393554,0.2615349,0.003235713,0.001751029,0.005025652,0.3778839,0.06752133,0.09019554,0.00876046,0.0956356,0.0008762243],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801112,0.00005813276,0.01430094,0.0002060046,0.00001946322,0.002746935,0.00003180074,0.0001442189,0.002381202],"genre_scores_gemma":[0.9154155,0.0001813565,0.07775361,0.0002363555,0.00001730292,0.003936514,0.0001263593,0.00007136826,0.002261688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669575,"threshold_uncertainty_score":0.08829665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288022655057608,"score_gpt":0.4464150115258491,"score_spread":0.3176127460200883,"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."}}