{"id":"W3081967894","doi":"10.1109/fuzz48607.2020.9177828","title":"Modeling User Feedback: Fuzzy sampling, Portability, and Degree of Annoyance","year":2020,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Software portability; Human–computer interaction; User modeling; Annoyance; Cluster analysis; User interface; Machine learning","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":[0.0005353246,0.00006378058,0.0001584,0.00002528273,0.0002085658,0.00003372002,0.0001430104,0.0000556925,0.0005340434],"category_scores_gemma":[0.0003493253,0.00006065511,0.00005918769,0.0002714065,0.0002061049,0.0001260284,0.00003283206,0.00007094284,0.00001021352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001767135,"about_ca_system_score_gemma":0.000135945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01327092,"about_ca_topic_score_gemma":0.02572443,"domain_scores_codex":[0.9990909,0.00007504976,0.0002358837,0.0002289297,0.0002270116,0.0001422658],"domain_scores_gemma":[0.9994552,0.00008296304,0.00004370206,0.0001329245,0.0001512364,0.0001339795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009415231,0.0003959294,0.5737312,0.0003902614,0.0001918384,0.000002220298,0.09931962,0.05846486,0.00103542,0.1965598,0.0008386797,0.068976],"study_design_scores_gemma":[0.002050496,0.0003976698,0.07576207,0.0001590251,0.0005114386,6.327334e-7,0.1304111,0.6682463,0.0008924091,0.09262142,0.02695708,0.001990333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362851,0.000161122,0.03674352,0.004448174,0.00002200755,0.0001426732,0.000005853608,0.00006228149,0.02212927],"genre_scores_gemma":[0.9979113,0.00004315148,0.001337113,0.0004070558,0.00008072164,0.000003078341,0.000003330762,0.000003919644,0.0002103549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6097815,"threshold_uncertainty_score":0.9932998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103178255171371,"score_gpt":0.3315705871174944,"score_spread":0.2212527616003574,"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."}}