{"id":"W25966650","doi":"","title":"2D similarity transformations on multi-touch surfaces","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Stylus; Transformation (genetics); Computer science; Rotation (mathematics); Similarity (geometry); Object (grammar); Computer vision; Interface (matter); Artificial intelligence; Position (finance); Scaling; Orientation (vector space); Function (biology); Multi-touch; Mobile device; Mathematics; Image (mathematics); Geometry","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":[0.0005621312,0.0006108275,0.0007909128,0.0007616321,0.0002671189,0.001200451,0.00089297,0.0006138128,0.006992996],"category_scores_gemma":[0.003387851,0.0002729802,0.0007589806,0.0008140582,0.0004837838,0.002163921,0.002013852,0.000500337,0.001304125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634736,"about_ca_system_score_gemma":0.0001781147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003142288,"about_ca_topic_score_gemma":0.0003144808,"domain_scores_codex":[0.9982631,0.0002463367,0.00008959642,0.0001753365,0.001153128,0.00007258687],"domain_scores_gemma":[0.9982933,0.0007423161,0.0001552257,0.0004653789,0.0002510168,0.00009274523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006704758,0.000316618,0.00113729,0.0005833311,0.00006584178,0.0003923627,0.0006369535,0.03951358,0.2978758,0.009315385,0.001938342,0.6475539],"study_design_scores_gemma":[0.0002274875,0.00316731,0.00861259,0.00007602415,0.0000629401,0.002968527,0.0004635734,0.6331445,0.3112141,0.009803915,0.03010264,0.0001564002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2019234,0.001188738,0.7836567,0.000103278,0.0001200724,0.0002153926,0.0001476872,0.003114754,0.009529948],"genre_scores_gemma":[0.6417354,0.0007178158,0.3512673,0.00007636131,0.00005037114,0.0001792639,0.000394887,0.0004655871,0.005113067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006992996,"threshold_uncertainty_score":0.02339393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06291980216685969,"score_gpt":0.2799681806102114,"score_spread":0.2170483784433518,"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."}}