{"id":"W4292847794","doi":"10.1145/3524458.3547226","title":"Web-based human activity recognition using images and descriptive web pages","year":2022,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Autonomy; Generalization; Activity recognition; Web application; Machine learning; Artificial intelligence; Data collection; Order (exchange); Process (computing); World Wide Web","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":[0.0001790765,0.0005768374,0.0005364318,0.00221139,0.0001227935,0.00073884,0.0003706471,0.0005501026,0.002715067],"category_scores_gemma":[0.0008653385,0.0001285974,0.0003813901,0.001327763,0.0001743236,0.0008776163,0.0003499897,0.0002967675,0.002795496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565841,"about_ca_system_score_gemma":0.000150976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084742,"about_ca_topic_score_gemma":0.00389455,"domain_scores_codex":[0.9997268,0.00004010809,0.0000201492,0.00007774867,0.0001036652,0.00003150078],"domain_scores_gemma":[0.999593,0.0001092488,0.00005283226,0.00008320404,0.000126725,0.00003513384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007496317,0.0007042037,0.01566984,0.0007046206,0.0001757988,0.001014658,0.0001532449,0.008842782,0.09916092,0.001009099,0.01190259,0.8599126],"study_design_scores_gemma":[0.00006461756,0.0007140347,0.1840452,0.0002323512,0.0001718523,0.004454287,0.000941926,0.5639228,0.2180485,0.005049786,0.02221829,0.0001365308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450332,0.003801796,0.3956477,0.0004955588,0.0005228829,0.0006631683,0.01267428,0.01752272,0.02363867],"genre_scores_gemma":[0.8623813,0.001253379,0.1236985,0.0001751425,0.000138063,0.0001794426,0.00650816,0.0001571576,0.005508845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002715067,"threshold_uncertainty_score":0.009082854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0871399878770566,"score_gpt":0.279007848161102,"score_spread":0.1918678602840454,"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."}}