{"id":"W4395032745","doi":"10.1016/j.jvcir.2024.104160","title":"3D hand pose estimation and reconstruction based on multi-feature fusion","year":2024,"lang":"en","type":"article","venue":"Journal of Visual Communication and Image Representation","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Artificial intelligence; Pose; Feature (linguistics); Computer science; Fusion; Computer vision; Estimation; Pattern recognition (psychology); Mathematics; Engineering","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":[0.0006494283,0.001196272,0.002037738,0.001703074,0.0004534039,0.001133452,0.001021359,0.00148452,0.002758452],"category_scores_gemma":[0.001553328,0.001039432,0.001439571,0.001888764,0.0005310564,0.001717985,0.00193398,0.001322283,0.002341659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002841826,"about_ca_system_score_gemma":0.0008877919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658257,"about_ca_topic_score_gemma":0.003377194,"domain_scores_codex":[0.9989556,0.00009906977,0.00005253573,0.0002887576,0.0004626918,0.0001413564],"domain_scores_gemma":[0.9993331,0.0001266513,0.00009334655,0.0001746242,0.0002341916,0.00003803247],"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":[0.0004550983,0.0001471402,0.002698968,0.0001623749,0.0001683915,0.0002667909,0.0001532028,0.04101161,0.1523789,0.001579285,0.002585258,0.7983931],"study_design_scores_gemma":[0.00002056331,0.0001493378,0.006783587,0.00002995216,0.00009863616,0.0007823398,0.00006354002,0.9355105,0.05144173,0.002894429,0.002154191,0.00007126705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01591431,0.0003238263,0.9815546,0.00006700932,0.00005703415,0.00003906123,0.0001042788,0.001152056,0.000787796],"genre_scores_gemma":[0.4028412,0.0007983588,0.5919209,0.0001622165,0.000110969,0.0001097757,0.0006935237,0.0002336054,0.003129461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002758452,"threshold_uncertainty_score":0.009227931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795424071391604,"score_gpt":0.3589585154341448,"score_spread":0.3310042747202288,"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."}}