{"id":"W3107930498","doi":"10.1111/cgf.14149","title":"Personalized Hand Modeling from Multiple Postures with Multi‐View Color Images","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Parameterized complexity; Artificial intelligence; Fidelity; Machine learning; Pose; Deep learning; High fidelity; Computer vision; Algorithm","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":[0.0002793768,0.001035483,0.000776794,0.0007796305,0.0002326287,0.0006588883,0.0005254832,0.0006374779,0.002958199],"category_scores_gemma":[0.0006104754,0.0005291412,0.0008379056,0.0006656151,0.0003964977,0.0006731353,0.0006612719,0.0007315751,0.001438146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003905717,"about_ca_system_score_gemma":0.000533658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007594364,"about_ca_topic_score_gemma":0.01404494,"domain_scores_codex":[0.9995703,0.00005244547,0.00001323184,0.000170958,0.0001252654,0.0000677819],"domain_scores_gemma":[0.9997216,0.00003905367,0.00003499246,0.00009851499,0.00007680665,0.00002898953],"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":[0.000504175,0.0001270859,0.008108985,0.0002197609,0.0002844916,0.0005377782,0.0002629459,0.2159116,0.2193185,0.001724186,0.009232519,0.5437681],"study_design_scores_gemma":[0.00001568142,0.00009285183,0.01141812,0.00003548517,0.00006388201,0.0006087673,0.00007785417,0.944324,0.03799102,0.001635488,0.003672309,0.00006444153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0743042,0.0007583948,0.9174287,0.0001208396,0.0001257989,0.00006159564,0.0005958885,0.003830961,0.002773704],"genre_scores_gemma":[0.7476384,0.0007619891,0.2434217,0.0002769547,0.00006313746,0.00007000514,0.001187409,0.000359888,0.006220633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007594364,"threshold_uncertainty_score":0.01510036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660836793274246,"score_gpt":0.2376908208821341,"score_spread":0.2010824529493916,"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."}}