{"id":"W2048736470","doi":"10.1007/s11036-014-0531-x","title":"Context-Aware Systems and Applications","year":2014,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Context (archaeology); Data science; Engineering ethics; State (computer science); Engineering management; Management science","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":[0.0009481492,0.0008462524,0.001035436,0.001124335,0.0007838872,0.005203717,0.001277232,0.001938189,0.0079231],"category_scores_gemma":[0.002641788,0.0005536613,0.000466687,0.001971697,0.001235543,0.004405194,0.002541891,0.001804697,0.003175257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208515,"about_ca_system_score_gemma":0.000675886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236248,"about_ca_topic_score_gemma":0.001223685,"domain_scores_codex":[0.9991789,0.000177737,0.00009064906,0.0001588736,0.0003233408,0.00007037183],"domain_scores_gemma":[0.9991122,0.0002677886,0.0000490475,0.0002288585,0.0002383477,0.0001037999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001434916,0.000236667,0.001502934,0.001161918,0.000143171,0.0005259843,0.0008014385,0.00774034,0.01520555,0.3122498,0.04886844,0.6114203],"study_design_scores_gemma":[0.0000384965,0.0001589615,0.001696333,0.00054118,0.0001582714,0.001213394,0.0005490069,0.0545214,0.007133232,0.2884029,0.6455048,0.00008200924],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02888431,0.1702808,0.6089489,0.0113455,0.006363157,0.0004846408,0.000702091,0.004912674,0.1680779],"genre_scores_gemma":[0.5150267,0.09583917,0.2921193,0.004337721,0.004580543,0.0005718293,0.001679064,0.0005344621,0.08531116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0079231,"threshold_uncertainty_score":0.02650541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007327121308201,"score_gpt":0.2289391790902038,"score_spread":0.2188659078771218,"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."}}