{"id":"W4327523052","doi":"10.1109/access.2023.3257280","title":"Video Relationship Detection Using Mixture of Experts","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Microsoft Research Asia; Microsoft Research; Microsoft","keywords":"Computer science; Artificial intelligence; Inference; Machine learning; Classifier (UML); Artificial neural network; Predicate (mathematical logic); Object detection; Pattern recognition (psychology)","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":[0.001943277,0.001225629,0.001257834,0.002242787,0.0004975617,0.001357135,0.002914023,0.002618827,0.00180636],"category_scores_gemma":[0.006195415,0.0008565962,0.001451846,0.001049894,0.0006657299,0.002453232,0.002069799,0.002064233,0.0007545653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274497,"about_ca_system_score_gemma":0.0008326426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007147782,"about_ca_topic_score_gemma":0.007002639,"domain_scores_codex":[0.9984853,0.0003117986,0.00005840219,0.0005981405,0.0003176173,0.0002287985],"domain_scores_gemma":[0.9978858,0.001020287,0.0002786447,0.0002135612,0.0004098958,0.0001918029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009367322,0.0002998241,0.005838365,0.0001759805,0.0002972993,0.0006306156,0.0003684875,0.3668632,0.01927404,0.01281823,0.005655636,0.5868415],"study_design_scores_gemma":[0.000005639178,0.00002064613,0.0002806181,0.000006088039,0.000009580497,0.00005283932,0.00001487838,0.9942824,0.002098124,0.002848888,0.0003734791,0.000006879035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03278427,0.000405892,0.9637768,0.0002353657,0.00003532387,0.00008685922,0.0001212595,0.001040038,0.001514238],"genre_scores_gemma":[0.5874358,0.0003749886,0.406129,0.0004118662,0.0001201668,0.000128952,0.0006797138,0.0001360879,0.00458343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007147782,"threshold_uncertainty_score":0.01421237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07794275924308183,"score_gpt":0.3754505869616347,"score_spread":0.2975078277185529,"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."}}