{"id":"W1966882736","doi":"10.1109/icassp.2010.5495545","title":"Human action recognition based on Self Organizing Map","year":2010,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Action (physics); Action recognition; Artificial intelligence; Computer vision","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":["insufficient_payload"],"category_scores_codex":[0.0001661888,0.00009630303,0.00006560123,0.0001634263,0.0002680667,0.0001699126,0.0001870443,0.00008097503,0.001058396],"category_scores_gemma":[0.000013539,0.00009098212,0.00004076598,0.0001759435,0.0000099446,0.0005333666,0.00002353317,0.0002520688,0.001636759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002465205,"about_ca_system_score_gemma":0.00002456805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001685851,"about_ca_topic_score_gemma":0.00006322202,"domain_scores_codex":[0.9992386,0.00003273897,0.0001325523,0.0002671056,0.0001797624,0.0001492509],"domain_scores_gemma":[0.9994782,0.00003192758,0.00006114657,0.0002677045,0.00009352926,0.00006744251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001274193,0.001119522,0.0003700138,0.00007123275,0.00003282033,0.00002438069,0.0004992116,0.00001848457,0.5310534,0.0266833,0.02305017,0.4170648],"study_design_scores_gemma":[0.001829154,0.0005671174,0.007838945,0.00007316132,0.00002987678,0.00003568178,0.00009103108,0.08213725,0.8321385,0.02936412,0.04489313,0.001002041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440085,9.362395e-7,0.1767486,0.001814794,0.002554733,0.0003053216,0.000002637473,0.002254803,0.07230962],"genre_scores_gemma":[0.9774762,4.449869e-7,0.02031759,0.001386036,0.0002649925,0.00001065343,0.0000190689,0.000009887161,0.0005151422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4160627,"threshold_uncertainty_score":0.9998547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437947786664068,"score_gpt":0.2687432622910997,"score_spread":0.234363784424459,"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."}}