{"id":"W3151148158","doi":"10.1109/infvis.2005.1532124","title":"Interactive visualization of genealogical graphs","year":2005,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Tree (set theory); Visualization; Graph drawing; Theoretical computer science; Dual (grammatical number); Family tree; Graph; Artificial intelligence; Combinatorics; 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":[0.00007536927,0.00004309546,0.00006524381,0.00007838834,0.0000199642,0.00003506331,0.0002683662,0.00001990285,0.000133019],"category_scores_gemma":[0.00002666806,0.0000344344,0.00002802459,0.0003124516,0.0000176102,0.0004110996,0.00008849448,0.00001876229,0.00004541739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008422671,"about_ca_system_score_gemma":0.00001291924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004166292,"about_ca_topic_score_gemma":0.000005777384,"domain_scores_codex":[0.9995174,0.00002447652,0.0001483215,0.0001190318,0.000124326,0.00006641552],"domain_scores_gemma":[0.999644,0.00002328113,0.0000556962,0.0001630338,0.00008047478,0.00003352386],"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":[8.968037e-7,0.0000748684,0.0004065146,0.000001872202,0.000005253865,2.919475e-7,0.0001622793,0.0000998897,0.0004514665,0.984761,0.001973981,0.01206167],"study_design_scores_gemma":[0.0002707179,0.00007954329,0.001916355,0.00000888613,0.000004903634,0.000004263018,0.00004543375,0.9348444,0.02777806,0.00580357,0.02910089,0.0001430338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002374486,0.000009386926,0.9860159,0.0002562917,0.00004174381,0.00002878255,0.000001261469,0.00006875546,0.01120336],"genre_scores_gemma":[0.9720324,0.00001710636,0.0266929,0.0008216407,0.00001754748,8.421907e-7,0.00001183445,0.000002181991,0.0004035327],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9789574,"threshold_uncertainty_score":0.1456465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599308835825402,"score_gpt":0.3339147585977246,"score_spread":0.3079216702394706,"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."}}