{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009771413,0.0007252386,0.0004712218,0.0007503468,0.0004621976,0.001719755,0.001049073,0.0008499771,0.003826829],"category_scores_gemma":[0.006668789,0.0006205199,0.0007432218,0.0006561227,0.0005334691,0.001946678,0.001306647,0.0008864918,0.0007869157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009739835,"about_ca_system_score_gemma":0.001693996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02809798,"about_ca_topic_score_gemma":0.04344375,"domain_scores_codex":[0.9992388,0.0004001092,0.00003525701,0.000136858,0.0001077642,0.00008117418],"domain_scores_gemma":[0.9984137,0.0009884209,0.0001041009,0.000166155,0.0002214165,0.0001061626],"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":[0.0003646081,0.0002533155,0.0188848,0.0004708488,0.0001942919,0.0004751832,0.001724821,0.7611254,0.00249976,0.09163,0.006340479,0.1160365],"study_design_scores_gemma":[0.00001452914,0.00005308717,0.001299751,0.00004289759,0.00006401283,0.00007277196,0.0002374593,0.9699761,0.0005822345,0.02297984,0.004662056,0.00001540192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1100271,0.002864812,0.8619658,0.001130118,0.0001538197,0.0002582761,0.001130055,0.001305454,0.02116446],"genre_scores_gemma":[0.8889595,0.001034444,0.1036067,0.00008508581,0.00003822072,0.0002241037,0.0005501304,0.0001287887,0.005373109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02809798,"threshold_uncertainty_score":0.05586886,"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."}}