{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006302994,0.0000987551,0.0001365031,0.0002350525,0.0003957051,0.0003960956,0.0005009024,0.00004797698,0.000005314292],"category_scores_gemma":[0.00003006894,0.00007582584,0.00003219241,0.000799714,0.0002039364,0.0001719072,0.00004040782,0.00008117635,0.00002646919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001980747,"about_ca_system_score_gemma":0.000138674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004115609,"about_ca_topic_score_gemma":0.00000962592,"domain_scores_codex":[0.9988918,0.00003194249,0.000187486,0.0003657474,0.0003323687,0.0001907101],"domain_scores_gemma":[0.999428,0.0001896424,0.00007247122,0.0002269683,0.0000417514,0.0000411926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001127444,0.00009717159,0.0011068,0.0001071931,0.00001389124,0.000003000674,0.0006288246,0.1297107,0.006486267,0.7111192,0.0009820288,0.1497337],"study_design_scores_gemma":[0.000315012,0.00002289885,0.000234862,0.00008570893,0.000004294363,0.00000205523,0.0000977102,0.9758942,0.006208725,0.01677617,0.0002360885,0.0001222652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007694039,0.00001354512,0.888764,0.0007015353,0.0003026015,0.0001813314,8.184678e-7,0.00009281856,0.1022493],"genre_scores_gemma":[0.9509531,6.304854e-7,0.04818131,0.0007418888,0.00002182775,0.00003337992,6.801178e-7,0.0000017644,0.00006537849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9432591,"threshold_uncertainty_score":0.3819559,"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."}}