{"id":"W2738221637","doi":"10.1609/aimag.v30i4.2264","title":"Mixed‐Initiative Interface Personalization as a Case Study in Usable AI","year":2009,"lang":"en","type":"article","venue":"AI Magazine","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Manitoba","funders":"","keywords":"Personalization; USable; Usability; Computer science; Interface (matter); Human–computer interaction; User interface; Process (computing); Focus (optics); World Wide Web","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":[0.0002859752,0.000167852,0.0001798058,0.0004116547,0.0001020445,0.0001092692,0.0003733233,0.00007759717,0.0000977371],"category_scores_gemma":[0.0001134324,0.0001695861,0.00002603391,0.001109853,0.00004327009,0.001237086,0.0001262153,0.0003888606,0.0005088421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749175,"about_ca_system_score_gemma":0.00005642705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008194929,"about_ca_topic_score_gemma":0.0004559112,"domain_scores_codex":[0.9987104,0.0001262916,0.0002956037,0.0004303397,0.0001841702,0.00025321],"domain_scores_gemma":[0.9991409,0.00004643107,0.0001136157,0.0003780162,0.0002933723,0.00002768278],"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":[0.0003769062,0.01107028,0.04913913,0.00007943954,0.00035253,0.04599314,0.124891,0.001394355,0.03880653,0.4943555,0.09251149,0.1410297],"study_design_scores_gemma":[0.01859047,0.02633641,0.200013,0.0007207798,0.0001392522,0.03308668,0.0315191,0.4311844,0.08853686,0.1329781,0.03222911,0.004665772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7667115,0.00003360026,0.2195773,0.008040703,0.0003477881,0.0004869411,0.000001202367,0.0002468176,0.004554144],"genre_scores_gemma":[0.9942293,0.000001358978,0.00155166,0.003364003,0.00003078154,0.00002374711,0.00000280852,0.000007850991,0.0007885547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4297901,"threshold_uncertainty_score":0.691552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823671194850395,"score_gpt":0.336011023344477,"score_spread":0.297774311395973,"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."}}