{"id":"W3204597830","doi":"10.1109/tai.2022.3195968","title":"Multiview Video-Based 3-D Hand Pose Estimation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Artificial Intelligence","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pose; Artificial intelligence; Computer vision; Computer science; Estimation; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005389241,0.0001859965,0.0001915426,0.0003118365,0.0009931581,0.0002435196,0.0005862266,0.00005094665,0.0004458746],"category_scores_gemma":[0.00001681234,0.0001959348,0.0001470585,0.0009761612,0.00007690671,0.0003177166,0.000005214187,0.0003640582,0.0006567132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001390577,"about_ca_system_score_gemma":0.0001397304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006944771,"about_ca_topic_score_gemma":0.00007649344,"domain_scores_codex":[0.9979067,0.0002961727,0.0004692147,0.0004972472,0.0005492263,0.0002814233],"domain_scores_gemma":[0.9988192,0.0003057472,0.0001232534,0.0005154352,0.0001160401,0.0001203355],"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":[0.00002962081,0.0003555861,6.04312e-7,0.00001331578,0.00001227784,0.00001343316,0.000596908,0.3421766,0.002449766,0.001441636,0.00006129324,0.652849],"study_design_scores_gemma":[0.00005759343,0.0002320195,0.000004950793,0.00003158808,0.00001195925,0.00002509691,0.0001133083,0.7110056,0.2831105,0.003010247,0.00215075,0.0002464285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001845914,0.00004300019,0.9936877,0.001184445,0.002310798,0.0004083513,0.0000314378,0.000253783,0.0002345833],"genre_scores_gemma":[0.9870545,0.000004528762,0.01185769,0.0005651032,0.00004436652,0.0002948674,0.000003558347,0.00001520324,0.0001602294],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9852086,"threshold_uncertainty_score":0.8440939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588036316703987,"score_gpt":0.2992395871507419,"score_spread":0.2404359554803432,"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."}}