{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001081218,0.00006351888,0.00005211367,0.0001132002,0.0001092959,0.0003321249,0.0001275331,0.00003492465,0.0006182838],"category_scores_gemma":[0.000004054986,0.00005604524,0.00004918543,0.0001813648,0.00001071212,0.0008274553,0.00004006778,0.00009665194,0.002275614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002343973,"about_ca_system_score_gemma":0.00001688977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002262205,"about_ca_topic_score_gemma":0.00001727754,"domain_scores_codex":[0.9994483,0.00002646329,0.00007519658,0.0002320992,0.0001062588,0.0001117045],"domain_scores_gemma":[0.9997504,0.00002807158,0.00001246932,0.0001411366,0.00002750349,0.00004043012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[9.121417e-7,0.00004367927,0.000004361852,0.00002301322,0.00001470139,0.00002051781,0.0001305599,3.757793e-7,0.01273935,0.05168464,0.008461385,0.9268765],"study_design_scores_gemma":[0.0005818895,0.0003366167,0.003247372,0.0002427323,0.00003822925,0.0001286838,0.00004934654,0.07485302,0.2997413,0.5252933,0.09444164,0.001045913],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1365979,0.00003182098,0.4886829,0.001071492,0.0008185253,0.0001216725,0.00000300827,0.001745831,0.3709269],"genre_scores_gemma":[0.9952319,0.000005995156,0.001709058,0.0002150105,0.0001356812,0.00001201345,0.000006960771,0.000004907839,0.002678478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9258306,"threshold_uncertainty_score":0.9985012,"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."}}