{"id":"W4255938757","doi":"10.1145/882262.882291","title":"TreeJuxtaposer","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Texas at Austin; National Science Foundation","keywords":"Computer science; Visibility; Tree (set theory); Focus (optics); Node (physics); Visualization; Context (archaeology); Graph; Task (project management); Artificial intelligence; Theoretical computer science; Geography; 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":[0.001068845,0.0009159807,0.001399634,0.001673338,0.0008078095,0.002878069,0.002522049,0.001386981,0.0223886],"category_scores_gemma":[0.004737118,0.0007657362,0.001090675,0.00135922,0.0004544925,0.004169589,0.003747563,0.001749009,0.00581545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000335807,"about_ca_system_score_gemma":0.0006441615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267039,"about_ca_topic_score_gemma":0.001906094,"domain_scores_codex":[0.9993277,0.0001119219,0.00004281444,0.0001821174,0.0002555316,0.00008002041],"domain_scores_gemma":[0.9976427,0.0009562136,0.0001247766,0.0007479137,0.0002928383,0.000235644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002126173,0.0002033043,0.004421658,0.001147863,0.000345335,0.0006280312,0.001661392,0.008922183,0.05348957,0.02589113,0.2518194,0.6493439],"study_design_scores_gemma":[0.0004116299,0.0006717113,0.00866604,0.0002490723,0.000189018,0.002213931,0.0008301318,0.4190209,0.0865804,0.07849457,0.4022541,0.0004184827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02471607,0.0007366947,0.7295783,0.000465706,0.0001930392,0.0001967813,0.006101108,0.2275767,0.01043563],"genre_scores_gemma":[0.1954057,0.0007624715,0.7486113,0.0004022677,0.0001200533,0.0006030219,0.01407502,0.02927277,0.01074739],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0223886,"threshold_uncertainty_score":0.07489735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212373624131894,"score_gpt":0.2892077405405375,"score_spread":0.2570840042992186,"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."}}