{"id":"W2024046182","doi":"10.4018/jcicg.2010010106","title":"Calligraphic Video","year":2010,"lang":"en","type":"article","venue":"International Journal of Creative Interfaces and Computer Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Intuition; Human–computer interaction; Leverage (statistics); Computer science; Gesture; Graphical user interface; Computer graphics (images); Multimedia; Artificial intelligence; Cognitive science; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002942889,0.0007492811,0.0003382939,0.001375884,0.001008759,0.002259345,0.001085337,0.001177941,0.4049617],"category_scores_gemma":[0.001614885,0.0001999603,0.000306416,0.00076377,0.0004211698,0.001295841,0.001969463,0.001320584,0.1146572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228035,"about_ca_system_score_gemma":0.0007053313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005005019,"about_ca_topic_score_gemma":0.008588322,"domain_scores_codex":[0.999788,0.00002512449,0.000007358371,0.00004658526,0.0001002753,0.00003273727],"domain_scores_gemma":[0.9994439,0.0001036128,0.00001488019,0.0001210947,0.0001660832,0.0001502958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000234076,0.00005927088,0.0002006912,0.0001500537,0.000007538876,0.0003727931,0.0001514117,0.0002254905,0.003378693,0.008723019,0.7736526,0.2128444],"study_design_scores_gemma":[0.00003830367,0.00003578899,0.0006345593,0.00008367289,0.000006780144,0.0005401262,0.00009225364,0.0008542892,0.001183215,0.001723854,0.9947895,0.00001763923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006650672,0.001803291,0.0390026,0.00299139,0.00464185,0.0005938146,0.01362284,0.01625835,0.9144353],"genre_scores_gemma":[0.06305533,0.002046296,0.03574172,0.003051479,0.001473549,0.0006458636,0.02084233,0.003983734,0.8691597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4049617,"threshold_uncertainty_score":0.8487499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235909979258444,"score_gpt":0.2968833890994026,"score_spread":0.2845242893068182,"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."}}