{"id":"W4376480569","doi":"10.1109/wcnc55385.2023.10119036","title":"ALSensing: Human Activity Recognition using WiFi based on Active Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Simon Fraser University","funders":"HORIZON EUROPE Health","keywords":"Computer science; Baseline (sea); Artificial intelligence; Activity recognition; Deep learning; Machine learning; Training (meteorology); Training set; Active learning (machine learning)","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":[0.00008736986,0.0001111628,0.0001031799,0.0003477316,0.0001687106,0.0000293757,0.00004587237,0.0001084594,0.00006786709],"category_scores_gemma":[0.00007237055,0.0001135679,0.00003941455,0.0005782733,0.00002485239,0.0001009972,0.00001459335,0.0002063578,0.0001335323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008606743,"about_ca_system_score_gemma":0.000006931994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324434,"about_ca_topic_score_gemma":0.000006764125,"domain_scores_codex":[0.9994423,0.00002472816,0.00008586701,0.0001343618,0.0001149143,0.0001977953],"domain_scores_gemma":[0.999754,0.00006001227,0.00002027377,0.0001104469,0.00003302109,0.00002223653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001696862,0.00001930452,0.0002515128,0.00004203817,0.00002330933,0.00001345573,0.0001301303,0.7003577,0.1812079,0.0001924878,0.0004107304,0.1173344],"study_design_scores_gemma":[0.0001518934,0.00002632726,0.000737757,0.00002524165,0.000005638496,6.051732e-7,0.0001521236,0.6590093,0.3393178,0.0002472022,0.0001960514,0.0001301299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275431,0.000001111103,0.04632517,0.00004163034,0.0001530423,0.0001006236,0.00000320673,0.004435973,0.02139614],"genre_scores_gemma":[0.9991927,0.00000310733,0.0004217328,0.0000275789,0.00003314044,0.000003787562,0.0000283086,0.00003183278,0.0002578846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581098,"threshold_uncertainty_score":0.4631164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04967427940833445,"score_gpt":0.269709875892113,"score_spread":0.2200355964837785,"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."}}