{"id":"W4407303539","doi":"10.1007/978-3-031-82327-5_5","title":"Creating AI Persona","year":2025,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Persona; Computer science; World Wide Web; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194662,0.0007892852,0.0003292782,0.0008861754,0.002333091,0.004519333,0.00121812,0.001692967,0.06887259],"category_scores_gemma":[0.00341974,0.000543356,0.0006988388,0.000632951,0.001786564,0.005306834,0.004616822,0.00190527,0.02266964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000921255,"about_ca_system_score_gemma":0.0009004334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009336932,"about_ca_topic_score_gemma":0.001550597,"domain_scores_codex":[0.9987776,0.0004489202,0.00005052529,0.0002110548,0.0004105987,0.0001013058],"domain_scores_gemma":[0.9992079,0.0002777433,0.00003245772,0.0002068628,0.0001581829,0.0001169185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004926466,0.0001243679,0.0007071621,0.0003467756,0.00002680144,0.0003278042,0.008212931,0.001092041,0.00811894,0.4972854,0.09878133,0.3849272],"study_design_scores_gemma":[0.00001185676,0.0000355935,0.0002428133,0.0001422433,0.00002007192,0.0006080467,0.002082354,0.003773161,0.003734049,0.05598397,0.9333459,0.00001994183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009541082,0.00102159,0.3667622,0.002158132,0.000972367,0.0002528839,0.0002244771,0.005029744,0.6140376],"genre_scores_gemma":[0.1314233,0.001649324,0.3455009,0.0008963349,0.0001832644,0.0005861558,0.001152737,0.002031254,0.5165766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06887259,"threshold_uncertainty_score":0.2304018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844972590854512,"score_gpt":0.2599105997864686,"score_spread":0.2414608738779234,"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."}}