{"id":"W2397758814","doi":"","title":"Modeling Mobile User Planning-Context.","year":2014,"lang":"en","type":"article","venue":"International Conference on User Modeling, Adaptation, and Personalization","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Context (archaeology); Human–computer interaction","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004657271,0.0002443249,0.0001916594,0.0002063343,0.0002299996,0.0004978681,0.0006173708,0.0001219251,0.0001415451],"category_scores_gemma":[0.0001152346,0.0002454798,0.00006573173,0.0001404606,0.00003964705,0.001070204,0.00007650285,0.0001735088,0.00005154167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006724385,"about_ca_system_score_gemma":0.0001018441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000276066,"about_ca_topic_score_gemma":0.0001148709,"domain_scores_codex":[0.9980156,0.0001352215,0.0004118664,0.0006448955,0.0005607157,0.0002316489],"domain_scores_gemma":[0.9985493,0.00007689518,0.0001097745,0.0003144626,0.000830095,0.0001194457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004307221,0.00006493631,0.0004503159,0.00001441127,0.00002908728,7.86112e-7,0.008716286,0.6359166,0.0001169648,0.3497596,0.0001214505,0.004766442],"study_design_scores_gemma":[0.0004531948,0.0001239598,0.00004429038,0.0001004391,0.00000930108,0.000005596801,0.0008928363,0.9822233,0.00006036508,0.01381589,0.001995137,0.0002757158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1018361,0.00006209276,0.894964,0.0006456627,0.0004628827,0.0001923098,0.000007959597,0.0001518962,0.001677116],"genre_scores_gemma":[0.9895821,0.00006971828,0.008296916,0.0009561451,0.0001469945,0.00005936281,0.00006554998,0.00001915298,0.0008041065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.887746,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077148405547042,"score_gpt":0.3029004451947931,"score_spread":0.1951856046400889,"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."}}