{"id":"W2044656118","doi":"10.1145/1450579.1450627","title":"Napkin sketch","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sketch; Computer science; Human–computer interaction; Computer graphics (images); Augmented reality; Interface (matter); Expression (computer science); Space (punctuation); Tracking (education); Artificial intelligence; Computer vision; Algorithm","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002389531,0.00004192577,0.00004185747,0.00003134101,0.00007025507,0.00001317166,0.0003005489,0.0000131878,0.000171954],"category_scores_gemma":[0.000008976737,0.00003376801,0.00003345337,0.0001041948,0.0000146211,0.0003506406,0.0000729981,0.00004153267,0.001114674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001013254,"about_ca_system_score_gemma":0.00001893181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002418638,"about_ca_topic_score_gemma":0.000001466935,"domain_scores_codex":[0.9996233,0.00001081606,0.00005028193,0.0001242036,0.00008018697,0.0001112062],"domain_scores_gemma":[0.9997102,0.00002105163,0.00001243109,0.0001793273,0.00004840027,0.00002855917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009000374,0.0001676441,0.005779548,0.000003535768,0.00003565848,0.000207555,0.002914076,0.000006260457,0.07991119,0.6531414,0.2536104,0.004213661],"study_design_scores_gemma":[0.0006241586,0.0002275442,0.219661,0.00001025587,0.000002926942,0.0004603426,0.0001606182,0.01076736,0.5958261,0.002825854,0.1689195,0.0005142351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08079299,0.00001798029,0.5758648,0.0008085601,0.0003014035,0.00003667517,2.454443e-7,0.00003014308,0.3421472],"genre_scores_gemma":[0.9873486,0.000005866201,0.004774232,0.00160451,0.00002594985,0.000001877729,4.195264e-7,0.000001790162,0.00623682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9065555,"threshold_uncertainty_score":0.9996631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865932239596219,"score_gpt":0.2286539796364992,"score_spread":0.209994657240537,"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."}}