{"id":"W1570003767","doi":"","title":"Predicting Future User Actions by Observing Unmodified Applications","year":2000,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; User interface; User modeling; Human–computer interaction; State space; Software; User interface design; State (computer science); Space (punctuation); Machine learning; Artificial intelligence; Distributed computing; Data mining; User experience design; Algorithm; Programming language","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":[0.00009159742,0.00007899159,0.00008043695,0.00004097855,0.0002991618,0.0001854528,0.0006656445,0.0000429607,0.0003795016],"category_scores_gemma":[0.000004011441,0.00006975391,0.00004746606,0.0005478923,0.00001181949,0.0004989006,0.00007212994,0.000100909,0.0002314444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001511112,"about_ca_system_score_gemma":0.00002042031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001225592,"about_ca_topic_score_gemma":0.00002781328,"domain_scores_codex":[0.9992369,0.00002148271,0.00013604,0.0002996668,0.0001358646,0.0001700622],"domain_scores_gemma":[0.9992069,0.00003747206,0.00003036392,0.0006220203,0.00002669108,0.00007652646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002408618,0.000245131,0.01035876,0.00001510838,0.0001375638,0.000002408073,0.0008412896,0.001051849,0.00301354,0.03915663,0.1358749,0.8093004],"study_design_scores_gemma":[0.0001540038,0.00001235471,0.002079377,0.000007860154,0.00002679736,0.000006983413,0.0002773947,0.1233153,0.0006982228,0.0002458891,0.872946,0.000229787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02610156,0.0001582013,0.9275281,0.004710194,0.00009673371,0.0001241312,0.00003135083,0.0008160647,0.04043365],"genre_scores_gemma":[0.7951894,0.0001731115,0.1441858,0.001674481,0.0008150789,0.0001643191,0.0001562655,0.00002282837,0.05761872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8090706,"threshold_uncertainty_score":0.4155276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742366038573868,"score_gpt":0.2458363644001544,"score_spread":0.2284127040144157,"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."}}