{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008516519,0.000435014,0.000433387,0.0008665373,0.0004583336,0.0007922765,0.004492557,0.0001971441,0.0000346758],"category_scores_gemma":[0.00003454223,0.0004684264,0.0001505761,0.0007604994,0.0005617845,0.0007733162,0.001942934,0.0007186821,0.000139772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953896,"about_ca_system_score_gemma":0.001095882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436024,"about_ca_topic_score_gemma":0.00001501081,"domain_scores_codex":[0.9963143,0.00001785959,0.0004833454,0.0016707,0.0008515283,0.0006622996],"domain_scores_gemma":[0.9975678,0.0001685555,0.0001909449,0.001645604,0.0002220862,0.0002050589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.344977e-7,0.00001839536,0.00002123985,0.00002526393,0.000005934075,0.00003017026,0.0003393184,0.00008116991,0.00009592342,0.8489994,0.0007790207,0.1496034],"study_design_scores_gemma":[0.0005024635,0.0001109253,0.0007937909,0.001253499,0.00001727955,0.00006316951,0.00000401417,0.7361387,0.0005264965,0.09679016,0.1621199,0.001679637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001469294,0.0001888407,0.6688851,0.0009552527,0.0005812594,0.0002521431,0.000003514769,0.0002304516,0.3288887],"genre_scores_gemma":[0.02886435,0.0001902099,0.7168278,0.007955478,0.0009187461,0.00009503425,0.000006511229,0.00006837141,0.2450735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7522092,"threshold_uncertainty_score":0.9997767,"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."}}