{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004935515,0.0002024455,0.0002661347,0.0007678768,0.000081075,0.00057667,0.00166577,0.0001008955,0.00001710669],"category_scores_gemma":[0.0000329384,0.0001675042,0.0001716055,0.0003423626,0.0001833365,0.0008336055,0.0004435574,0.0005097024,0.000001428032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001077384,"about_ca_system_score_gemma":0.00006066984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000304318,"about_ca_topic_score_gemma":0.00002127523,"domain_scores_codex":[0.9983599,0.0000680592,0.0005906067,0.0002660946,0.0005497076,0.0001655891],"domain_scores_gemma":[0.9975656,0.0001582979,0.000491757,0.000244184,0.001390377,0.0001497464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002003421,0.0001032628,0.003892939,0.000004707879,0.000185333,0.00004398593,0.0006354964,0.000002653468,0.0004865198,0.9653217,0.001043067,0.02826029],"study_design_scores_gemma":[0.002770528,0.002605943,0.07120948,0.000527026,0.00007300598,0.003101233,0.0001050836,0.4740852,0.03160359,0.3104388,0.1021797,0.001300496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2348767,0.000160655,0.7620254,0.000656583,0.001954009,0.00005952939,0.000003144278,0.00006053669,0.0002034748],"genre_scores_gemma":[0.9740243,0.0005443323,0.02428546,0.0007009772,0.0004123333,0.000002519875,0.000001322706,0.0000105734,0.00001821558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7391476,"threshold_uncertainty_score":0.6830623,"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."}}