{"id":"W2897101290","doi":"10.1109/msmc.2018.2806565","title":"An Emerging Wearable World: New Gadgetry Produces a Rising Tide of Changes and Challenges","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Man and Cybernetics Magazine","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Jiangxi Provincial Department of Science and Technology; Natural Science Foundation of Beijing Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Wearable computer; Wearable technology; Computer science; Computer security; Human–computer interaction; Embedded system","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":[0.002954266,0.0008797793,0.0009718511,0.001540554,0.001931047,0.008008754,0.001400328,0.003356484,0.016166],"category_scores_gemma":[0.007069078,0.0005451537,0.0007193266,0.001793568,0.003883207,0.0149608,0.004129532,0.004239531,0.005852782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101627,"about_ca_system_score_gemma":0.001051837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009654947,"about_ca_topic_score_gemma":0.001985733,"domain_scores_codex":[0.9975551,0.0007080976,0.0001386353,0.0003718416,0.001064652,0.000161733],"domain_scores_gemma":[0.9944316,0.002626095,0.0003015576,0.0004805022,0.001565068,0.0005952079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002014099,0.0001585169,0.005460508,0.00278289,0.00009498472,0.0008383329,0.004314316,0.001174798,0.00952934,0.1186071,0.1785663,0.6782715],"study_design_scores_gemma":[0.00000945515,0.0001570513,0.003220666,0.001157179,0.00003682981,0.002037497,0.007011437,0.00102703,0.000969794,0.04790416,0.9363816,0.00008737495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04701002,0.3507263,0.1302676,0.2861856,0.0314739,0.0001346066,0.0009612815,0.002296009,0.1509447],"genre_scores_gemma":[0.2512406,0.3701481,0.1337083,0.1157014,0.03565113,0.0002984606,0.001252245,0.001958615,0.09004117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.016166,"threshold_uncertainty_score":0.05408067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050730584522862,"score_gpt":0.2782574200534442,"score_spread":0.2275268355305822,"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."}}