{"id":"W3212534344","doi":"10.48550/arxiv.2111.03635","title":"BBC-Oxford British Sign Language Dataset","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Sign (mathematics); Linguistics; History; Computer science; Natural language processing; Mathematics; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002885264,0.0002820486,0.0004069885,0.0001649196,0.0001336563,0.0006407378,0.001941866,0.0003287198,0.0001685483],"category_scores_gemma":[0.00004489074,0.0003892954,0.0001978271,0.0005930169,0.00006136037,0.0005350847,0.002447466,0.0005797815,0.0001819524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201209,"about_ca_system_score_gemma":0.0002520955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008215552,"about_ca_topic_score_gemma":0.0007630541,"domain_scores_codex":[0.9976438,0.0002728546,0.0002329329,0.001328612,0.0001440215,0.0003777492],"domain_scores_gemma":[0.9976993,0.0001010576,0.0002190392,0.001587021,0.000163047,0.0002305713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001503333,0.003280914,0.0171973,0.004705555,0.003982282,0.2179813,0.01402961,0.1020545,0.00143902,0.09827194,0.3128306,0.2240766],"study_design_scores_gemma":[0.01027079,0.0005423379,0.01657646,0.006912066,0.001186885,0.002785058,0.00926961,0.4759611,0.003513969,0.0291236,0.4300495,0.01380857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1533985,0.0005152103,0.8357608,0.0001075395,0.001606435,0.0004512329,0.001302742,0.0004696611,0.0063878],"genre_scores_gemma":[0.9939734,0.0002718152,0.001496211,0.0002712324,0.0001784041,0.000001862537,0.001692259,0.00002037574,0.002094451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8405749,"threshold_uncertainty_score":0.9998559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05956021653571327,"score_gpt":0.1916315840599191,"score_spread":0.1320713675242058,"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."}}