{"id":"W2804481867","doi":"10.1007/s12652-018-0851-y","title":"Special issue on ubiquitous computing and NextGen context-fusion","year":2018,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Computational intelligence; Ubiquitous computing; Ambient intelligence; Context (archaeology); Context awareness; Sensor fusion; Data science; Human–computer interaction; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004711608,0.0001791625,0.0003521182,0.0001758406,0.0002687193,0.0001957682,0.0001609243,0.00007037215,0.00005525626],"category_scores_gemma":[0.00002947943,0.0001556286,0.00005926837,0.0001067956,0.00008395985,0.00009559967,0.00007569306,0.0002631583,0.00002615004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004242582,"about_ca_system_score_gemma":0.00001141751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009124673,"about_ca_topic_score_gemma":0.000005410631,"domain_scores_codex":[0.998673,0.00003623406,0.0006567081,0.0001492503,0.0002320111,0.0002527616],"domain_scores_gemma":[0.9992623,0.0001140661,0.0002352629,0.00009894527,0.0001774522,0.0001119934],"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":[0.0001061889,0.0001075956,0.0005596431,0.0002158219,0.0002001027,0.0001278931,0.01756781,0.03504813,0.008042017,0.003565837,0.008904459,0.9255545],"study_design_scores_gemma":[0.0009656085,0.002148255,0.001824351,0.002335493,0.00007560671,0.0006912141,0.004729821,0.9144924,0.02533012,0.0008592917,0.04583434,0.0007135544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689612,0.0005507054,0.02327933,0.00004897979,0.003546587,0.0001294024,7.76163e-7,0.00007211725,0.003410948],"genre_scores_gemma":[0.9874539,0.0001353653,0.001090118,0.0001136571,0.01115046,9.250111e-8,4.492362e-7,0.00002253196,0.00003336521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9248409,"threshold_uncertainty_score":0.6346349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378347936196338,"score_gpt":0.2648442518610052,"score_spread":0.2410607724990419,"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."}}