{"id":"W66959022","doi":"","title":"A simple algorithm for constructing perfect monolinear sona tree drawings, and its application to visual art education","year":2009,"lang":"en","type":"article","venue":"","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Computer science; Simple (philosophy); Tree (set theory); Set (abstract data type); Point (geometry); Class (philosophy); The arts; Algorithm; Visual arts; Computer graphics (images); Mathematics; Artificial intelligence; Art; Combinatorics; Geometry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004694929,0.0005813645,0.0005568431,0.001396593,0.0005517149,0.0009559395,0.0008650417,0.0006002345,0.007200476],"category_scores_gemma":[0.001811795,0.0002872498,0.0004724118,0.001426451,0.0004267954,0.0009550028,0.0009841077,0.0006770206,0.001199302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034248,"about_ca_system_score_gemma":0.0007844402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009629104,"about_ca_topic_score_gemma":0.001581788,"domain_scores_codex":[0.9995928,0.00009881562,0.0000390812,0.0001053923,0.0001278536,0.00003604609],"domain_scores_gemma":[0.9994944,0.00018741,0.00004779509,0.00008459581,0.0001489971,0.00003671254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001379503,0.0001819954,0.001465298,0.0002218933,0.00003857421,0.0001481904,0.000255124,0.05180564,0.0208332,0.0432241,0.004297547,0.8773906],"study_design_scores_gemma":[0.0001602793,0.0003482397,0.001141857,0.00006076771,0.0000550449,0.0009282407,0.0003103184,0.8841264,0.01748998,0.06439625,0.03092051,0.00006209521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009473065,0.000043079,0.9878606,0.00003964776,0.00001494564,0.00008505451,0.00004803312,0.0005397737,0.001895863],"genre_scores_gemma":[0.03768359,0.00003884972,0.961122,0.00001103342,0.00000642508,0.00009808001,0.0001349137,0.00004061287,0.0008643657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007200476,"threshold_uncertainty_score":0.02408803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301467809127838,"score_gpt":0.2701230521926722,"score_spread":0.2571083741013939,"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."}}