{"id":"W2932047266","doi":"10.2196/12856","title":"When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":247,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Breast cancer; Medicine; Prospective cohort study; Psychology; Cancer; Computer science; World Wide Web; Internal medicine","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":[0.003082329,0.0005225973,0.0007965895,0.001762851,0.00300269,0.002208945,0.0006413996,0.001350518,0.001923693],"category_scores_gemma":[0.01039719,0.001041408,0.0008822621,0.0009668565,0.001041971,0.001812542,0.002114434,0.002373014,0.0007427059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625712,"about_ca_system_score_gemma":0.0012788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009397414,"about_ca_topic_score_gemma":0.01067315,"domain_scores_codex":[0.9977148,0.0009300197,0.00024935,0.0003062247,0.0003444717,0.0004553172],"domain_scores_gemma":[0.9886504,0.003558432,0.00333226,0.0003648596,0.001244167,0.002849817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009191644,0.002972598,0.9152809,0.0001527499,0.0001014467,0.0009578827,0.07084467,0.00006751534,0.0008410714,0.00004430557,0.0003937388,0.007423962],"study_design_scores_gemma":[0.00009104455,0.008638582,0.8871249,0.00009118619,0.0001460971,0.001272197,0.09980511,0.0004050909,0.0005424139,0.00004047362,0.001725455,0.0001175016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995814,0.00007854756,0.00003667486,0.00003332187,0.000005846009,0.00004930724,0.00006007376,0.00000211308,0.0001527458],"genre_scores_gemma":[0.9990845,0.0001136622,0.0001108244,0.0001120739,0.00001344371,0.000122283,0.0001354915,0.000003056848,0.0003046127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009397414,"threshold_uncertainty_score":0.01868546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922459088108399,"score_gpt":0.339041128347752,"score_spread":0.319816537466668,"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."}}