{"id":"W2144524535","doi":"10.1109/i-span.2008.33","title":"Management of Ambient Media Preferences in Distributed Environments for Service Personalization","year":2008,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Personalization; Computer science; Service (business); Ambient intelligence; World Wide Web; Multimedia; Human–computer interaction; Business; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002220398,0.0004393198,0.000747719,0.000707815,0.0009986365,0.002217105,0.0009704118,0.0005046849,0.001156065],"category_scores_gemma":[0.003673521,0.0002788669,0.000458449,0.000917507,0.0004466444,0.00283184,0.001734199,0.001158112,0.000438732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511795,"about_ca_system_score_gemma":0.0007437954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753623,"about_ca_topic_score_gemma":0.004015277,"domain_scores_codex":[0.9987703,0.0003654428,0.000108166,0.0002580011,0.0003908397,0.0001071986],"domain_scores_gemma":[0.998321,0.0004024756,0.0001885119,0.0005212332,0.0003680543,0.0001986565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000695754,0.0008085387,0.01657993,0.0004029989,0.0002580179,0.0009889017,0.004374557,0.07177506,0.0679301,0.1004017,0.01021105,0.7255735],"study_design_scores_gemma":[0.0001462752,0.0003940924,0.01542312,0.000142785,0.0002975645,0.001150952,0.002466284,0.7097005,0.0590116,0.1208945,0.09009603,0.0002762372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06493441,0.0007160733,0.9244942,0.0004686359,0.00006367925,0.0002407519,0.0001426947,0.002027403,0.006912172],"genre_scores_gemma":[0.7883502,0.0004581255,0.2067733,0.0001367547,0.00009949478,0.0002087573,0.0003133828,0.000131617,0.003528219],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002753623,"threshold_uncertainty_score":0.01174271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224020198717488,"score_gpt":0.2456248948546913,"score_spread":0.1933846928675164,"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."}}