{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004610362,0.002230028,0.001009048,0.001278625,0.0008288726,0.002500205,0.004114817,0.001688677,0.02266086],"category_scores_gemma":[0.02800447,0.001370429,0.001445902,0.0008275093,0.001631498,0.006183316,0.007526276,0.002861138,0.007740942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008128715,"about_ca_system_score_gemma":0.001090587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544742,"about_ca_topic_score_gemma":0.001882708,"domain_scores_codex":[0.9944118,0.001499614,0.0005011472,0.001588544,0.001494528,0.000504445],"domain_scores_gemma":[0.9722108,0.006950661,0.001233124,0.01659824,0.002237424,0.0007697393],"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":[0.001316829,0.0006860135,0.00752499,0.0009672857,0.0001548986,0.0007483434,0.004977835,0.005839824,0.08566731,0.05643032,0.04935419,0.7863322],"study_design_scores_gemma":[0.0003658289,0.0009418342,0.01559956,0.0005925968,0.0003315577,0.002559086,0.001739249,0.1198871,0.1262465,0.09066994,0.6403795,0.0006872392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03686457,0.0002949951,0.8645187,0.0004621381,0.0002255532,0.001040269,0.0006814389,0.07286374,0.02304862],"genre_scores_gemma":[0.3720385,0.0003587565,0.573593,0.001196434,0.0001317111,0.001579824,0.0021747,0.008689982,0.04023711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02266086,"threshold_uncertainty_score":0.07580811,"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."}}