{"id":"W4205874537","doi":"10.3233/faia210494","title":"Personalized Virtual Campus Journey Adaptation to User Controlled Experience","year":2022,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Eidgenössische Technische Hochschule Zürich; Johns Hopkins University; Imperial College London; University of Chicago; University of Pennsylvania","keywords":"Personalization; Adaptation (eye); Computer science; Mobile apps; Preference; Multimedia; Virtual campus; World Wide Web; Human–computer interaction; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003807163,0.0002916437,0.000449483,0.0004944459,0.0003785527,0.0002270075,0.0008824526,0.0001621844,0.0003681605],"category_scores_gemma":[0.0000858155,0.0003250006,0.0001062852,0.0003011267,0.0001739914,0.000288256,0.0002132409,0.0005100537,0.00009951976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681156,"about_ca_system_score_gemma":0.0002168862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004524133,"about_ca_topic_score_gemma":0.00003482769,"domain_scores_codex":[0.9977143,0.00006843563,0.0006791853,0.0008229095,0.000427118,0.000288051],"domain_scores_gemma":[0.9986153,0.0001610707,0.0003215362,0.0006014635,0.0001280577,0.000172575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000421315,0.0000481001,0.0000233577,0.00000492018,0.00001781924,0.00000216492,0.007123808,0.0046746,0.00001646291,0.7359277,0.001195071,0.2509238],"study_design_scores_gemma":[0.0001683184,0.0001725846,0.00001763035,0.00006227936,0.00003349512,0.00001041298,0.006558532,0.05333748,0.00008880875,0.1682411,0.7706128,0.0006965778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00009023723,0.0004695487,0.9761447,0.0009906617,0.0009800163,0.001676111,0.00001161602,0.00009140689,0.01954571],"genre_scores_gemma":[0.1613209,0.003256535,0.3486362,0.004026868,0.002229757,0.02289238,0.0003008661,0.0003039532,0.4570326],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7694177,"threshold_uncertainty_score":0.9999202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821835661705689,"score_gpt":0.2934109964326567,"score_spread":0.2551926398155998,"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."}}