{"id":"W4388095018","doi":"10.18280/ts.400549","title":"Deep Learning-Based Standardized Evaluation and Human Pose Estimation: A Novel Approach to Motion Perception","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Motion (physics); Perception; Estimation; Pose; Deep learning; Computer vision; Machine learning; Pattern recognition (psychology); Psychology; Neuroscience; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002094134,0.0009164555,0.0005918262,0.001225895,0.000201025,0.001036267,0.0006913277,0.0006227927,0.00145248],"category_scores_gemma":[0.005943542,0.0002468989,0.000399468,0.0007946267,0.0006889615,0.001022733,0.0016244,0.0008221822,0.0004465485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005847455,"about_ca_system_score_gemma":0.0008306872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907559,"about_ca_topic_score_gemma":0.00231741,"domain_scores_codex":[0.9980853,0.0006939761,0.0001206297,0.0004153048,0.000541704,0.0001430837],"domain_scores_gemma":[0.9984267,0.000441559,0.000288796,0.0002201873,0.0005007045,0.0001221097],"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":[0.000307098,0.000255336,0.005497988,0.0002150177,0.0001012592,0.0001140227,0.0002829921,0.08386981,0.04876191,0.008059503,0.002355571,0.8501795],"study_design_scores_gemma":[0.00001464933,0.0003852699,0.005915148,0.00004354212,0.00002344079,0.0001075861,0.0000916668,0.9660134,0.01857301,0.006361615,0.00243897,0.00003182831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01634962,0.0001096381,0.9821212,0.00005572955,0.00002502617,0.00006891855,0.00004930951,0.0003764587,0.0008440562],"genre_scores_gemma":[0.6800172,0.0003025832,0.3159368,0.0001366727,0.00008955311,0.0002477375,0.0004015916,0.0001377435,0.002730079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002094134,"threshold_uncertainty_score":0.01107496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02988796467060068,"score_gpt":0.2720326712131985,"score_spread":0.2421447065425978,"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."}}