{"id":"W4401808941","doi":"10.1109/sas60918.2024.10636508","title":"The Effect of Activity Granularity on A Kitchen Activity Recognition System","year":2024,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Ottawa","funders":"","keywords":"Granularity; Computer science; Activity recognition; Artificial intelligence; Pattern recognition (psychology); Operating 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":[0.0008741341,0.0005079681,0.0005464689,0.0003433898,0.0002119531,0.0004774307,0.0005494033,0.0004525541,0.001317472],"category_scores_gemma":[0.003441134,0.0002322991,0.0002225381,0.0002272073,0.0001661427,0.0007614121,0.0005934906,0.0003243882,0.0005632776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076303,"about_ca_system_score_gemma":0.0001589384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209787,"about_ca_topic_score_gemma":0.00136998,"domain_scores_codex":[0.9989285,0.0001942468,0.0001156145,0.0003235148,0.000285133,0.0001529834],"domain_scores_gemma":[0.9984317,0.0007758941,0.0001455048,0.0001804037,0.0003745501,0.00009177007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00299393,0.000800655,0.04804161,0.0004621091,0.0002042522,0.0007835129,0.0003714008,0.03252284,0.4278271,0.000295099,0.001381881,0.4843156],"study_design_scores_gemma":[0.00009060629,0.003920051,0.1529056,0.00005292321,0.0002654254,0.001111299,0.0003320747,0.538258,0.2996095,0.0003041906,0.003010836,0.0001395752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442795,0.0002903699,0.05195624,0.00009153264,0.00008514353,0.0001347736,0.0001246634,0.001453238,0.001584614],"genre_scores_gemma":[0.9856116,0.00004850467,0.01336907,0.00005670863,0.00001186018,0.00004077241,0.00009520912,0.00002054033,0.0007458099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001317472,"threshold_uncertainty_score":0.004622936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193453142259886,"score_gpt":0.259711258880266,"score_spread":0.2403659446542774,"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."}}