{"id":"W2894062837","doi":"10.5220/0006963201310136","title":"Developing Personas based on Physiological Measures","year":2018,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Persona; Computer science; 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":[0.002360506,0.0008717793,0.0005437705,0.00116148,0.0004214564,0.001487934,0.000802613,0.000842288,0.006231176],"category_scores_gemma":[0.01128906,0.0004476942,0.0009743148,0.0006691333,0.0003052482,0.001998859,0.001647452,0.0006970616,0.003181829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670841,"about_ca_system_score_gemma":0.000509686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061845,"about_ca_topic_score_gemma":0.001383583,"domain_scores_codex":[0.9980189,0.000793987,0.0001713713,0.0005383725,0.000394975,0.00008250195],"domain_scores_gemma":[0.9972677,0.0009958514,0.0002963238,0.0003983436,0.0008871332,0.0001546196],"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":[0.0007357795,0.0004724408,0.02451008,0.001054181,0.000503006,0.0003560716,0.003691261,0.01229424,0.07603616,0.02687427,0.009768707,0.8437037],"study_design_scores_gemma":[0.000249636,0.001691818,0.06165388,0.0004952343,0.0007961406,0.002810854,0.006429117,0.6533856,0.1177435,0.05508912,0.09932653,0.0003285104],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02562233,0.0001030164,0.9656562,0.00009294703,0.00007074213,0.0005022719,0.0004815464,0.00392437,0.003546675],"genre_scores_gemma":[0.2209038,0.0002692916,0.7719059,0.00009612954,0.00002273914,0.001241446,0.001428995,0.0004076605,0.003724129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006231176,"threshold_uncertainty_score":0.02084541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180156432077328,"score_gpt":0.3033008018307932,"score_spread":0.1852851586230604,"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."}}