{"id":"W3194625966","doi":"10.1088/2633-1357/ac1f88","title":"An AI-assisted chatbot for radiation safety education in radiotherapy","year":2021,"lang":"en","type":"article","venue":"IOP SciNotes","topic":"AI in Service Interactions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Chatbot; Computer science; Workflow; IBM; Interface (matter); Laptop; The Internet; World Wide Web; Multimedia; Human–computer interaction; Operating system; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001862577,0.0000923655,0.0001147623,0.0001353733,0.0001092953,0.0001950092,0.0003699615,0.00005993002,0.00004371697],"category_scores_gemma":[0.00006707987,0.00009980561,0.00004602784,0.000478201,0.00001238446,0.001076575,0.00002535539,0.00009018042,0.00001436389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188088,"about_ca_system_score_gemma":0.0005402238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155056,"about_ca_topic_score_gemma":0.0004591496,"domain_scores_codex":[0.9990431,0.00008392815,0.000227542,0.0003422815,0.0001277651,0.0001754007],"domain_scores_gemma":[0.9989583,0.0002006504,0.00007732944,0.0005068349,0.0001954689,0.00006143092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002698399,0.0006299665,0.007690933,0.00003192898,0.00001710448,0.00000354884,0.002709165,0.001343675,0.05201303,0.03586255,0.001697005,0.8979741],"study_design_scores_gemma":[0.001375548,0.0001977626,0.4716312,0.00009645674,0.00001248811,0.00007454678,0.000459727,0.3526214,0.06418508,0.0100108,0.09879001,0.0005449489],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1722165,0.0009521021,0.7954782,0.02749451,0.002534891,0.0004465304,0.00000990623,0.0002035274,0.0006638675],"genre_scores_gemma":[0.8838956,0.00005264987,0.1112627,0.004004979,0.0003269872,0.00007138225,0.00004868499,0.00001472295,0.0003222596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8974292,"threshold_uncertainty_score":0.4069954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474987578997787,"score_gpt":0.3384840845166305,"score_spread":0.3237342087266527,"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."}}