{"id":"W2109648960","doi":"10.1145/2598784.2602795","title":"The consumed endurance workbench","year":2014,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Workbench; Metric (unit); Computer science; Tracking (education); Human–computer interaction; Simulation; Engineering drawing; Artificial intelligence; Engineering; Visualization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278987,0.00005138824,0.00005934089,0.00001415396,0.0001581898,0.0001822421,0.0005054083,0.00002419825,0.00001338882],"category_scores_gemma":[0.00006276411,0.0000279639,0.0000251848,0.0001567108,0.00002958737,0.0001097449,0.00004385061,0.00005396483,0.0006460957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005184546,"about_ca_system_score_gemma":0.00001451613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008816924,"about_ca_topic_score_gemma":0.00002108641,"domain_scores_codex":[0.999351,0.00009395173,0.0001126706,0.0001415149,0.0001505479,0.0001502794],"domain_scores_gemma":[0.9990962,0.000385706,0.00003391717,0.0003778352,0.00005752641,0.0000488746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001144107,0.00001031225,0.0004188021,0.000003783033,0.00001030787,0.000001903076,0.0001606444,0.000002527475,0.0004157031,0.3755341,0.01916985,0.6042709],"study_design_scores_gemma":[0.0001787092,0.0000108951,0.003716147,0.00001179326,8.965517e-7,0.0000378168,0.00001580091,0.006102673,0.001119655,0.005319213,0.9833872,0.00009921662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001302455,0.0001358591,0.8764489,0.006033659,0.0005838205,0.0001426115,8.601882e-8,0.0001947852,0.1151579],"genre_scores_gemma":[0.9897355,0.000007330783,0.004582927,0.0008009713,0.00009888408,0.00004145453,1.785213e-7,0.000002575361,0.004730158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9884331,"threshold_uncertainty_score":0.8304468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989121410915561,"score_gpt":0.2164671241892032,"score_spread":0.2065759100800476,"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."}}