{"id":"W2083643950","doi":"10.1109/icalt.2013.181","title":"Auto Generating APA Persona: A Proposal","year":2013,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Athabasca University","keywords":"Persona; Operationalization; Computer science; Human–computer interaction; Psychology; Epistemology; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005842531,0.00006097658,0.00005010149,0.00002492807,0.0001289459,0.0002153695,0.0003783874,0.000022353,0.0001588103],"category_scores_gemma":[0.000006435548,0.00004742263,0.00002632845,0.0001594746,0.00001697064,0.0003501348,0.00007490068,0.00004976817,0.001272486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074809,"about_ca_system_score_gemma":0.00005730715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007938193,"about_ca_topic_score_gemma":0.00000500117,"domain_scores_codex":[0.9994363,0.00001531667,0.00007639218,0.0002033345,0.0001092063,0.0001594304],"domain_scores_gemma":[0.9996082,0.00001636235,0.0000182873,0.0002446223,0.00004208769,0.00007049789],"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":[1.450141e-7,0.00005643655,0.0001600324,0.000003988295,0.000006692446,0.000001550087,0.001073355,0.000008275544,0.1634645,0.7248535,0.03928988,0.07108159],"study_design_scores_gemma":[0.00009799309,0.00002163396,0.0007569009,0.000002461935,0.000001136383,0.00001418239,0.0001161468,0.9877205,0.00267497,0.004013375,0.004433861,0.0001468377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01248957,0.00002498984,0.9552261,0.006323773,0.00004346186,0.0002099963,2.654319e-7,0.0003139625,0.02536789],"genre_scores_gemma":[0.4933643,7.708763e-7,0.499114,0.001102604,0.00006445781,0.0001188862,6.870218e-7,0.000003589358,0.006230715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9877122,"threshold_uncertainty_score":0.9995052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015793377119004,"score_gpt":0.2285764927263799,"score_spread":0.2127831156073759,"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."}}