{"id":"W2160333382","doi":"10.2312/egwr/egsr04/023-032","title":"Sketch Interpretation and Refinement Using Statistical Models","year":2004,"lang":"en","type":"article","venue":"Eurographics","topic":"Human Motion and Animation","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sketch; Computer science; Artificial intelligence; Context (archaeology); Semantics (computer science); Sketch recognition; Interpretation (philosophy); Hierarchy; Markov process; Process (computing); Natural language processing; Pattern recognition (psychology); Algorithm; Mathematics; Programming language; Gesture recognition; Gesture; Statistics","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":[0.00004954718,0.00005328773,0.00004442151,0.00006695871,0.00003283125,0.00003121221,0.0000198142,0.00002096735,0.00001309266],"category_scores_gemma":[0.000005182942,0.00005687997,0.00001174503,0.00008214782,0.0000213689,0.00009129801,0.000006484769,0.0000639976,0.000003821997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435774,"about_ca_system_score_gemma":0.000003316818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003294638,"about_ca_topic_score_gemma":0.000007348704,"domain_scores_codex":[0.9996867,0.000007799938,0.00009499101,0.00006577588,0.0000716453,0.00007314419],"domain_scores_gemma":[0.9998881,0.000007218602,0.000008879009,0.00004582985,0.00001522265,0.00003479504],"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":[0.00001074306,0.00006458284,0.0003901345,0.0001731588,0.00004819165,0.00001266969,0.00355911,0.6017893,0.004701387,0.3608165,0.0001433965,0.0282908],"study_design_scores_gemma":[0.0003100043,0.00003636068,0.003363215,0.00003818427,0.00001359801,0.000006213541,0.00005101957,0.976324,0.0001137371,0.01917627,0.0004556259,0.0001117388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4266515,0.0000584179,0.57232,0.00002313643,0.00005464429,0.00003669049,0.000003177361,0.0001038741,0.0007485925],"genre_scores_gemma":[0.9859246,0.00005732528,0.01393436,0.00004179169,0.00001722152,0.000001467805,0.000009655629,0.00001109905,0.000002492236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5592731,"threshold_uncertainty_score":0.2319498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436101949304466,"score_gpt":0.2402122966803496,"score_spread":0.2158512771873049,"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."}}