{"id":"W4308179942","doi":"10.2196/39443","title":"Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence–Assisted Chatbot: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"AI in Service Interactions","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; York University; University Health Network; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Chatbot; Process (computing); Computer science; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005958679,0.0008189872,0.0004369723,0.0009309044,0.0009316431,0.001336717,0.002124413,0.001360001,0.004249798],"category_scores_gemma":[0.02484971,0.0005431962,0.000379714,0.0004129128,0.0009496038,0.002313437,0.001388626,0.001392116,0.001163275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460553,"about_ca_system_score_gemma":0.001393025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002694378,"about_ca_topic_score_gemma":0.003360718,"domain_scores_codex":[0.9969536,0.002152989,0.00009080255,0.0003128832,0.0003170663,0.000172679],"domain_scores_gemma":[0.9691265,0.02590381,0.0007978901,0.0007317516,0.002235675,0.001204373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002375726,0.03679987,0.09795749,0.003209095,0.0001373251,0.005873519,0.1793295,0.02318276,0.03825121,0.009259259,0.01144054,0.5921836],"study_design_scores_gemma":[0.001926014,0.04027979,0.1255362,0.001917578,0.0006027595,0.006608125,0.113609,0.5213127,0.07522602,0.006886444,0.1055441,0.0005513294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732924,0.0001139529,0.01832353,0.0002474466,0.0000294122,0.001072227,0.00008863582,0.0005436681,0.006288855],"genre_scores_gemma":[0.9306634,0.0002561726,0.05590546,0.0002134887,0.00001877785,0.001431287,0.0004483303,0.0001200251,0.01094315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005958679,"threshold_uncertainty_score":0.03151286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2164091512485067,"score_gpt":0.4905733020059009,"score_spread":0.2741641507573943,"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."}}