{"id":"W4210962357","doi":"10.1016/j.tcs.2010.12.002","title":"Preface","year":2010,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mathematics; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.001061179,0.0001106487,0.00009383819,0.0001707396,0.0003894454,0.0004664931,0.001888412,0.00003914169,0.00007764938],"category_scores_gemma":[0.00009785101,0.00009307211,0.00003907509,0.001235545,0.001102621,0.0007869197,0.0006656409,0.0002368509,0.0001869189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001440496,"about_ca_system_score_gemma":0.0001523881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.146993e-7,"about_ca_topic_score_gemma":6.800322e-7,"domain_scores_codex":[0.9983436,0.00003368939,0.0001631831,0.0005299335,0.0005798333,0.0003497086],"domain_scores_gemma":[0.9987332,0.0001437085,0.00003699661,0.0006417914,0.0002104587,0.0002338499],"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":[0.000001094939,0.00002679702,0.00001780013,0.000001089333,8.58826e-7,0.000002286242,0.00008727254,0.0002793577,0.01085343,0.9190001,0.00006477943,0.06966516],"study_design_scores_gemma":[0.000113238,0.00007328633,0.001911636,0.000002758713,0.000001199655,0.00005549953,6.442781e-7,0.7214768,0.02329591,0.2512199,0.001690462,0.0001586655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09491672,0.000005336188,0.8961357,0.001189956,0.001580124,0.00008367153,3.68273e-7,0.0002000513,0.005888048],"genre_scores_gemma":[0.6774964,4.637611e-7,0.3218887,0.0004097694,0.0001795089,0.000002887593,4.36726e-7,0.000002424746,0.00001939247],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7211974,"threshold_uncertainty_score":0.4498403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011308790800318,"score_gpt":0.244440654640883,"score_spread":0.2384293458500827,"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."}}