{"id":"W4394597173","doi":"10.1109/wacv57701.2024.00632","title":"Embodied Human Activity Recognition","year":2024,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Embodied cognition; Computer science; Human–computer interaction; Artificial intelligence","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":[0.0006727105,0.0007729333,0.0007135934,0.0003999067,0.0002176311,0.0007223905,0.001346575,0.0009529128,0.002062474],"category_scores_gemma":[0.00361088,0.0003139736,0.0005349944,0.000351689,0.0006333674,0.001559487,0.0009208021,0.0008362445,0.0007163802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671183,"about_ca_system_score_gemma":0.0003960327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003833993,"about_ca_topic_score_gemma":0.003029607,"domain_scores_codex":[0.9994969,0.0001307009,0.00002494756,0.0001955629,0.00009269142,0.00005912506],"domain_scores_gemma":[0.9987295,0.0005409691,0.0001801045,0.0002896072,0.0001785798,0.0000811506],"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":[0.0002996069,0.0003751061,0.00710353,0.0002614201,0.000154455,0.0004561569,0.0003219876,0.4669347,0.05884681,0.009070217,0.003422419,0.4527535],"study_design_scores_gemma":[0.00001460529,0.0001331097,0.001765028,0.00001833515,0.00001912093,0.0002218783,0.00005208837,0.9713172,0.01469591,0.009016632,0.00272575,0.000020477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07275979,0.0006417396,0.9212484,0.0003733444,0.00009515076,0.00005681094,0.0002016529,0.001474409,0.00314868],"genre_scores_gemma":[0.7950693,0.0005405563,0.1993642,0.0001768189,0.00005529508,0.00006190517,0.0005674311,0.00008680423,0.004077659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003833993,"threshold_uncertainty_score":0.007623315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04744444782477365,"score_gpt":0.2942320887350767,"score_spread":0.246787640910303,"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."}}