{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009239021,0.00006215505,0.0000534989,0.00003053628,0.0001479441,0.00004949916,0.0004167604,0.0000273957,0.00003933581],"category_scores_gemma":[0.00001961714,0.00004392877,0.0000273305,0.0001977966,0.00005014546,0.00006211286,0.00003761853,0.00004051191,0.0004629201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385035,"about_ca_system_score_gemma":0.00005629048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004854984,"about_ca_topic_score_gemma":0.000001885382,"domain_scores_codex":[0.999415,0.00002477412,0.0000546056,0.0002307838,0.0001379439,0.0001369011],"domain_scores_gemma":[0.99961,0.00003699577,0.00001391044,0.0002450789,0.0000510837,0.00004293751],"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":[0.000004616274,0.00006845318,0.00006362317,0.000001866843,0.000004279163,0.00000157851,0.0002107555,0.00001073594,0.02404132,0.9246545,0.013704,0.03723428],"study_design_scores_gemma":[0.0005813121,0.0004883382,0.02919003,0.00003299012,0.000003514094,0.000005503701,0.00007507836,0.7980292,0.0552602,0.01878037,0.09690842,0.0006450692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004354804,0.000003897216,0.9713185,0.003895715,0.00004173133,0.00005684421,2.733575e-7,0.0002045161,0.02012375],"genre_scores_gemma":[0.8431932,5.978244e-7,0.1511755,0.00530398,0.00007196454,0.0000144496,4.795791e-7,0.000001913907,0.0002378731],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9058741,"threshold_uncertainty_score":0.5950056,"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."}}