{"id":"W2555061653","doi":"10.1145/2992154.2996880","title":"ERWear","year":2016,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Wearable computer; Usability; Computer science; Human–computer interaction; Wearable technology; Internet of Things; Face (sociological concept); 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":[0.0008623452,0.0005708903,0.0002811069,0.0007299074,0.001276068,0.003257103,0.001201173,0.00144576,0.1285257],"category_scores_gemma":[0.002587848,0.0002892279,0.000458186,0.000599827,0.000417299,0.003215914,0.002976534,0.00114521,0.05722336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006967232,"about_ca_system_score_gemma":0.001129725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00247299,"about_ca_topic_score_gemma":0.004395971,"domain_scores_codex":[0.9990529,0.0002201968,0.0000578588,0.0002208465,0.0002802722,0.0001678399],"domain_scores_gemma":[0.9991331,0.0001515936,0.00006767825,0.0001592173,0.0002919169,0.0001965548],"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":[0.0003446972,0.0003654019,0.00606986,0.0006651808,0.00003182653,0.00125081,0.003899823,0.002103018,0.01989941,0.1333787,0.1681472,0.6638441],"study_design_scores_gemma":[0.00002597675,0.000107853,0.00125441,0.000148403,0.00001605749,0.0005289392,0.001290932,0.002855925,0.004347164,0.01042106,0.978978,0.00002518403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.03818951,0.002222243,0.2340944,0.01131932,0.002472628,0.0007393158,0.002220465,0.008867498,0.6998745],"genre_scores_gemma":[0.2028182,0.002828078,0.1383541,0.004450485,0.0003149259,0.0005678479,0.004427455,0.001663128,0.6445758],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1285257,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185738029249652,"score_gpt":0.2216306631282816,"score_spread":0.2030568602033164,"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."}}