{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005969621,0.000233374,0.0004184514,0.0003307425,0.000123245,0.0002534661,0.0003393241,0.00007093468,0.000006583527],"category_scores_gemma":[0.00002057595,0.0002237263,0.00002750996,0.0003328295,0.0001299573,0.0004120173,0.00009526855,0.0001098394,0.00003271761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001946819,"about_ca_system_score_gemma":0.00005211196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004355995,"about_ca_topic_score_gemma":0.002554814,"domain_scores_codex":[0.9982147,0.0001776932,0.0003540224,0.0006150759,0.0003164003,0.0003220923],"domain_scores_gemma":[0.998637,0.00009046035,0.0002815744,0.0005749498,0.0002011574,0.000214809],"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":[0.0000568241,0.0002728954,0.00347465,0.001870208,0.0001836954,0.00003795456,0.01624593,0.00002957043,0.0575416,0.006332049,0.00452875,0.9094259],"study_design_scores_gemma":[0.008180181,0.006733962,0.05669527,0.0117914,0.0003504849,0.002073748,0.006034335,0.1814246,0.1022004,0.004684074,0.6142799,0.005551599],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979243,0.0424922,0.03147217,0.003606664,0.003117391,0.001269251,0.00001515406,0.0004711542,0.01963169],"genre_scores_gemma":[0.9926257,0.001184831,0.00110495,0.00004177661,0.0007397752,0.00001118204,9.774189e-7,0.00002393037,0.004266948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9038743,"threshold_uncertainty_score":0.9123293,"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."}}