{"id":"W4389230936","doi":"10.1109/icipc59416.2023.10328335","title":"A Graph Learning Based Multi-Modal Video Action Recognition","year":2023,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Action recognition; Modal; Artificial intelligence; Discriminative model; Robustness (evolution); Viewpoints; Machine learning; Pattern recognition (psychology); RGB color model; Graph; Artificial neural network; Theoretical computer science","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":[0.000254935,0.0000929358,0.00007696113,0.0003652821,0.0002484893,0.0001516874,0.000144312,0.00006132734,0.0002609396],"category_scores_gemma":[0.00005085854,0.00009149766,0.00007746544,0.0007675822,0.00001369534,0.0006950578,0.0000384404,0.0001644032,0.003233708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002429015,"about_ca_system_score_gemma":0.00002659515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003111651,"about_ca_topic_score_gemma":0.00002997118,"domain_scores_codex":[0.9990871,0.0000860994,0.000147667,0.0002897716,0.0001833523,0.0002060362],"domain_scores_gemma":[0.9995653,0.00007980257,0.00006086236,0.0001438782,0.00008477415,0.00006540445],"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":[0.00002208605,0.0001927152,0.0006051382,0.00004782661,0.00003144591,0.00003528465,0.0004275169,0.001681679,0.01834827,0.0007298327,0.00695278,0.9709255],"study_design_scores_gemma":[0.00122516,0.0001506652,0.01044033,0.00004807194,0.00001117945,0.00001237393,0.0002015702,0.9357157,0.03796016,0.005640382,0.008205626,0.0003887646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1306796,0.000002868751,0.8636586,0.0006357125,0.0004650945,0.0001319963,0.000001425692,0.001933369,0.002491302],"genre_scores_gemma":[0.9839733,0.00002048947,0.01308074,0.0005496559,0.000102157,0.00004894422,0.00008251869,0.00001214324,0.002130072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9705366,"threshold_uncertainty_score":0.9975424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09420221913967543,"score_gpt":0.303796172166264,"score_spread":0.2095939530265886,"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."}}