{"id":"W4415118051","doi":"10.1016/j.ipm.2025.104439","title":"Attention-guided residual shrinkage with gated recurrent unit for human activity recognition","year":2025,"lang":"en","type":"article","venue":"Information Processing & Management","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Robustness (evolution); Activity recognition; Pattern recognition (psychology); Residual; Feature extraction; Convolutional neural network; Generalization; Action recognition","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":[0.0003570805,0.0001594501,0.0001298724,0.0005106546,0.0006033797,0.000696174,0.0002805179,0.00005273607,0.00001872829],"category_scores_gemma":[0.00001262285,0.0001504141,0.00004301327,0.0006146521,0.00002855349,0.00350096,0.00009594505,0.0001092249,0.00006202683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009035097,"about_ca_system_score_gemma":0.00005326084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000930694,"about_ca_topic_score_gemma":0.00001145296,"domain_scores_codex":[0.9988519,0.00003508575,0.0003810376,0.0002278931,0.0002776094,0.0002264548],"domain_scores_gemma":[0.9990153,0.00001991153,0.0002971494,0.0002325459,0.0003933891,0.00004164678],"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":[0.00003905364,0.00009326993,0.00003498221,0.0006508047,0.00005081216,0.000001032801,0.0002619685,0.00005581009,0.00006263994,0.007044221,0.002942408,0.988763],"study_design_scores_gemma":[0.02789035,0.001799148,0.1165773,0.01013845,0.001077582,0.00005625813,0.003649475,0.199341,0.04400175,0.1629927,0.4278187,0.004657219],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06600226,0.00000906781,0.9012479,0.0008234052,0.0002150592,0.0009401114,0.000009041648,0.0004468112,0.03030634],"genre_scores_gemma":[0.9796836,0.00001232524,0.01722378,0.0007967644,0.00004199919,0.0003263596,0.0003695325,0.000008547924,0.001537049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841058,"threshold_uncertainty_score":0.6713222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346993572092588,"score_gpt":0.3007820109260691,"score_spread":0.2673120752051432,"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."}}