{"id":"W4212863801","doi":"10.1007/3-540-45848-4_60","title":"Graph-Drawing Contest Report","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Mitsubishi Electric Research Laboratories","keywords":"CONTEST; Computer science; Graph; Ninth; Graph drawing; Graph algorithms; Theoretical computer science; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001331987,0.0006450898,0.0006383701,0.001146141,0.0004265038,0.0007171132,0.004108087,0.0003404518,0.00005121806],"category_scores_gemma":[0.0001365242,0.0005928731,0.0002667294,0.0009894328,0.001016154,0.0008453984,0.001237915,0.001035956,0.00009150546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417419,"about_ca_system_score_gemma":0.0002366625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001062354,"about_ca_topic_score_gemma":0.00001069977,"domain_scores_codex":[0.9952585,0.0000438826,0.0007247519,0.00201703,0.001108725,0.0008470915],"domain_scores_gemma":[0.9963942,0.0004877104,0.0004170225,0.002180394,0.0002653482,0.0002552914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003715512,0.00006704286,0.0001432382,0.00004239744,0.00003023312,0.004366946,0.001048031,0.007601228,0.0001382134,0.206789,0.00007121247,0.7796987],"study_design_scores_gemma":[0.0003219825,0.0001851725,0.0001213323,0.0005198359,0.0000121897,0.00190049,1.553653e-7,0.1825736,0.0009650795,0.8079891,0.004198219,0.00121277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005132737,0.000534,0.9800682,0.0005645645,0.003081643,0.0003010023,0.000003422709,0.0003121868,0.01508367],"genre_scores_gemma":[0.2411534,0.0001201089,0.7486297,0.003735034,0.001449693,0.00002379991,0.00001263314,0.0001125772,0.004763005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.778486,"threshold_uncertainty_score":0.9996523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777484275730002,"score_gpt":0.2308942981831741,"score_spread":0.2131194554258741,"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."}}