{"id":"W2395860597","doi":"10.1145/2858036.2858129","title":"Anchored Customization","year":2016,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada","keywords":"Personalization; Computer science; Task (project management); World Wide Web; Layer (electronics); Face (sociological concept); Human–computer interaction; Software; Software engineering; Web application; Operating system; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001046667,0.00003405368,0.00003510187,0.00002154626,0.00002166727,0.00003398164,0.0003061391,0.00001938982,0.0001568801],"category_scores_gemma":[0.00003566771,0.00001872825,0.00001584116,0.0000884123,0.00001375276,0.0004030453,0.00005028593,0.00001186513,0.0005160615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000160853,"about_ca_system_score_gemma":0.00001252963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003879389,"about_ca_topic_score_gemma":0.000003310581,"domain_scores_codex":[0.9996163,0.00002384196,0.00006543004,0.0001399131,0.00006896735,0.00008549637],"domain_scores_gemma":[0.9996042,0.00004654922,0.00001218776,0.0002715738,0.00003590717,0.00002964099],"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":[0.00001338543,0.0001086933,0.005314905,0.000005597651,0.00001323958,0.000003099191,0.0005516545,0.00002336252,0.05226736,0.3276834,0.1117608,0.5022544],"study_design_scores_gemma":[0.001946213,0.0003050189,0.02243871,0.00005609663,0.000005728385,0.00001685019,0.00002210742,0.04402586,0.5919378,0.06274828,0.2757863,0.0007109452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009637829,0.000004756262,0.9778031,0.003453166,0.0001372433,0.00003768981,2.128152e-7,0.0001702297,0.008755769],"genre_scores_gemma":[0.9717648,0.000002382041,0.02435824,0.0002615884,0.00001762757,0.000003120453,6.362135e-8,0.000001633692,0.003590561],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.962127,"threshold_uncertainty_score":0.6633099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389461863749862,"score_gpt":0.2156089359964463,"score_spread":0.2017143173589477,"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."}}