{"id":"W3030796420","doi":"10.1145/3334480.3383150","title":"Tree Illustrator: Interactive Construction of Tree Visualizations","year":2020,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Tree (set theory); Visualization; Set (abstract data type); Tree structure; Human–computer interaction; Theoretical computer science; Programming language; Artificial intelligence; Data structure; Mathematics","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":[0.001952816,0.001653031,0.000982879,0.003129692,0.001085334,0.003521507,0.002531222,0.001484309,0.04980361],"category_scores_gemma":[0.008628288,0.001083974,0.001415612,0.001741178,0.0008470575,0.004049821,0.004127207,0.002797155,0.01392465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004490797,"about_ca_system_score_gemma":0.0008973214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001101203,"about_ca_topic_score_gemma":0.001960413,"domain_scores_codex":[0.9989459,0.0002723848,0.0000758096,0.0001683569,0.0004150157,0.0001225033],"domain_scores_gemma":[0.9966943,0.001785708,0.0001645025,0.0004724401,0.0006520619,0.0002308917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004579703,0.0001598501,0.00218874,0.001872266,0.0001932598,0.001398016,0.004327288,0.01610021,0.05565692,0.08701235,0.4302201,0.400413],"study_design_scores_gemma":[0.0001979398,0.000111254,0.001476308,0.0005194612,0.00007808879,0.001532817,0.0004970505,0.1622625,0.05518711,0.0782756,0.6996071,0.0002547514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002886962,0.0003559977,0.8988622,0.0003354975,0.0001908596,0.0001610931,0.002826308,0.08389435,0.01048673],"genre_scores_gemma":[0.03455513,0.0007145581,0.9209624,0.0002824534,0.0001355619,0.0005712116,0.005518987,0.0287232,0.008536501],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04980361,"threshold_uncertainty_score":0.1666097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192976569319514,"score_gpt":0.305334887802667,"score_spread":0.2734051221094719,"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."}}