{"id":"W2063228148","doi":"10.1145/2021164.2021166","title":"Is the iPad useful for sketch input?","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sketch; Computer science; Sketch recognition; Mobile device; Human–computer interaction; Context (archaeology); Mobile apps; Multimedia; Artificial intelligence; World Wide Web","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":[0.00009686592,0.00006483131,0.00005465245,0.00002394289,0.00009855186,0.00004168096,0.0006653954,0.00002095526,0.0002677479],"category_scores_gemma":[0.00001850898,0.00003744721,0.0000795238,0.00008898005,0.00002278481,0.0003654552,0.0001163253,0.00004977031,0.000309086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009028199,"about_ca_system_score_gemma":0.00001832743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005335185,"about_ca_topic_score_gemma":0.000007076486,"domain_scores_codex":[0.9994984,0.00001547332,0.00007705586,0.0001721656,0.00007200561,0.0001649532],"domain_scores_gemma":[0.9994215,0.00007750978,0.00002990638,0.0003367804,0.0001087273,0.00002555968],"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":[0.00003495898,0.0001347541,0.002686569,0.000008755814,0.00008825828,0.000003349333,0.01889112,2.786319e-7,0.005851938,0.7150654,0.2511801,0.006054577],"study_design_scores_gemma":[0.0005912738,0.0004102129,0.07600707,0.00001489175,0.0000185792,0.00001599481,0.001017509,0.009285341,0.6707946,0.03219763,0.2092593,0.0003875299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353482,0.00001761129,0.8677703,0.002852564,0.0004785637,0.0002047258,0.000002821371,0.00001870711,0.11512],"genre_scores_gemma":[0.9742631,0.000003042092,0.008659783,0.01127759,0.00004840361,0.00002933128,6.322938e-7,0.00000502525,0.005713121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9607282,"threshold_uncertainty_score":0.3972779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06813526574909079,"score_gpt":0.2807575789937725,"score_spread":0.2126223132446817,"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."}}