{"id":"W4413159666","doi":"10.3390/app15168921","title":"Hand Kinematic Model Construction Based on Tracking Landmarks","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Computer science; Geology; Artificial intelligence; Physics; Classical mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004340597,0.0007281853,0.0007652459,0.000796709,0.0003165667,0.001207587,0.001203877,0.0008841188,0.003091162],"category_scores_gemma":[0.001593675,0.0009469945,0.001287727,0.0007029441,0.0007125652,0.0009898753,0.001186607,0.001004342,0.001336608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007466396,"about_ca_system_score_gemma":0.001433792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009064811,"about_ca_topic_score_gemma":0.009734817,"domain_scores_codex":[0.9995915,0.00005600251,0.00002530672,0.000142144,0.0001477028,0.00003730746],"domain_scores_gemma":[0.999631,0.00009669065,0.00006783931,0.0001010665,0.00008208229,0.00002123188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003271488,0.00001141906,0.0006472752,0.00005244272,0.00001985182,0.00007849793,0.00007216811,0.9478418,0.008848338,0.007376327,0.0004248675,0.0345944],"study_design_scores_gemma":[0.00000401613,0.00001836049,0.0002798924,0.00001018974,0.000005956942,0.00004162614,0.00001009532,0.9935893,0.002679535,0.002444373,0.0009062145,0.00001037557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004307021,0.00002694245,0.9945402,0.00001662576,0.000006658136,0.00001789853,0.00006916791,0.0004026581,0.0006128621],"genre_scores_gemma":[0.4242212,0.0003476127,0.569447,0.00005052844,0.00002072444,0.0002891796,0.0009193348,0.0003454624,0.004358953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009064811,"threshold_uncertainty_score":0.01802415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336879158514547,"score_gpt":0.2649475646464532,"score_spread":0.2415787730613078,"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."}}