{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004395749,0.001103451,0.0005209961,0.001336339,0.0006389573,0.002209819,0.002104123,0.001060916,0.2196829],"category_scores_gemma":[0.002961214,0.0006925559,0.0008252186,0.0008753589,0.000515343,0.003495733,0.003343128,0.00116856,0.0693341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004332805,"about_ca_system_score_gemma":0.0006574845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009334583,"about_ca_topic_score_gemma":0.00181623,"domain_scores_codex":[0.9993739,0.00007002643,0.00004600914,0.0001317785,0.0003282362,0.0000501816],"domain_scores_gemma":[0.9991773,0.0002903605,0.00003019805,0.0002376654,0.0001917285,0.00007268121],"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":[0.0004070874,0.00005926679,0.0005327723,0.001669727,0.00004701872,0.0009069756,0.001043121,0.004140325,0.02457822,0.08041769,0.1906629,0.6955348],"study_design_scores_gemma":[0.00002580207,0.00003679103,0.0002650513,0.0001149072,0.00001440708,0.001264721,0.00009569495,0.004476938,0.006283386,0.005886241,0.9814854,0.00005071175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006796526,0.003028571,0.6827623,0.0006528138,0.0008542071,0.0006498137,0.004985738,0.04308571,0.2571843],"genre_scores_gemma":[0.0628099,0.005105464,0.5593348,0.0007888618,0.0002266067,0.0008930909,0.01053353,0.01495031,0.3453574],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2196829,"threshold_uncertainty_score":0.7349126,"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."}}