{"id":"W4413332499","doi":"10.1016/j.procs.2025.07.223","title":"GRU-Based Multi-Modal Human Activity Recognition","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Modal; Artificial intelligence; Activity recognition; Pattern recognition (psychology); Human–computer interaction","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001266169,0.000294544,0.0003184239,0.0008000719,0.0007931687,0.000963666,0.002295258,0.00009973493,0.000008191719],"category_scores_gemma":[0.000147863,0.0003015893,0.0001195818,0.002912888,0.0004006024,0.002539893,0.0007718067,0.0003038135,0.0001583894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532846,"about_ca_system_score_gemma":0.0009569069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008825368,"about_ca_topic_score_gemma":0.00006057159,"domain_scores_codex":[0.996792,0.0001234688,0.0003630242,0.001330049,0.0007419618,0.0006495222],"domain_scores_gemma":[0.9977017,0.0002368545,0.0002151727,0.0008931102,0.0007334444,0.0002197113],"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":[0.00001265183,0.0005992766,0.003430771,0.0001280058,0.00001913049,0.00001521637,0.0004614934,0.0000820128,0.02834408,0.002499111,0.000555638,0.9638526],"study_design_scores_gemma":[0.001481053,0.0001736235,0.036405,0.000264939,0.00001217225,0.00002835171,0.000008040432,0.8742146,0.08312025,0.002711782,0.000905298,0.0006748846],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1091971,0.00002021641,0.8860422,0.0009886831,0.001616039,0.0004984593,0.000004812222,0.0006486262,0.0009838186],"genre_scores_gemma":[0.9178852,9.062187e-7,0.0808092,0.0009746297,0.0001244098,0.0001005125,0.000002814157,0.000009104181,0.0000932432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9631777,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397431282124299,"score_gpt":0.3071591680633702,"score_spread":0.2631848552421272,"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."}}