{"id":"W4376456990","doi":"10.2316/j.2023.206-0909","title":"A STUDY OF ELECTRONIC SIGNATURE HANDWRITING UNDER FORCE FEEDBACK PERCEPTION, 471-480.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Handwriting; Signature (topology); Computer science; Perception; Mathematics; Artificial intelligence; Psychology; Neuroscience; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005506998,0.00008040963,0.0001536688,0.0003299901,0.0000532283,0.0001448504,0.0003249202,0.00005000031,0.000004851449],"category_scores_gemma":[0.00005433153,0.00006869586,0.00005433336,0.0002778826,0.0000130949,0.0004456442,0.00007081852,0.0001484223,0.000007646306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005916232,"about_ca_system_score_gemma":0.00006544554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004133635,"about_ca_topic_score_gemma":0.000008343418,"domain_scores_codex":[0.9986665,0.00007178068,0.0004610563,0.0001134878,0.0005700163,0.0001171597],"domain_scores_gemma":[0.9986149,0.0001065073,0.0004395591,0.00008025397,0.0007178587,0.00004089683],"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":[0.0001308882,0.001663483,0.01648484,0.0001878678,0.001930692,0.0002466712,0.03516547,0.5589286,0.0405616,0.08371314,0.003656003,0.2573307],"study_design_scores_gemma":[0.006461263,0.001835545,0.2601858,0.0009150357,0.000111382,0.001387495,0.01349032,0.6794254,0.001070873,0.03401113,0.0005313107,0.0005745045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6761686,0.00007678789,0.3209844,0.001846373,0.000634301,0.0001244314,0.000001618282,0.0000460045,0.000117465],"genre_scores_gemma":[0.9976098,0.00005853944,0.001985001,0.00005950138,0.0001829482,0.000001721961,0.000003847293,0.000005890343,0.00009276735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3214411,"threshold_uncertainty_score":0.2801336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735638604939228,"score_gpt":0.2826921424902968,"score_spread":0.2653357564409046,"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."}}