{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001445217,0.00009768475,0.00008068855,0.0002077635,0.0001843515,0.0001005729,0.000617796,0.00005407304,0.00009168861],"category_scores_gemma":[0.00003933434,0.00009290348,0.00008328481,0.0009490861,0.00003552911,0.0003094894,0.000004065012,0.0001363878,0.0001057492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001025556,"about_ca_system_score_gemma":0.00003846493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003459871,"about_ca_topic_score_gemma":0.0000183535,"domain_scores_codex":[0.9992052,0.00005705145,0.000140116,0.0002302509,0.0002063593,0.0001609858],"domain_scores_gemma":[0.9988636,0.00007302923,0.00002959669,0.0008920102,0.00005427495,0.00008750468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001974333,0.0003046551,0.0001236167,0.000006250787,0.00003650932,0.000005951508,0.0001721197,0.0003373376,0.00006474238,0.9787418,0.001664708,0.01854037],"study_design_scores_gemma":[0.00180075,0.0004105718,0.001075534,0.00004587209,0.00007840204,0.00006669613,0.0001583612,0.0396869,0.0155958,0.1902706,0.7497169,0.00109353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003430453,0.00001798527,0.9955807,0.0009395786,0.0002576887,0.00004856039,0.000007275599,0.0001673756,0.002637783],"genre_scores_gemma":[0.9351436,0.0002655603,0.05753382,0.005210484,0.00001517132,0.00001299946,0.000007785839,0.00001936111,0.001791161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9380469,"threshold_uncertainty_score":0.3788494,"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."}}