{"id":"W4231917931","doi":"10.1142/s021819590500183x","title":"GUEST EDITORS' FOREWORD","year":2005,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Mathematics; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096216,0.0002119653,0.000245982,0.001089302,0.0001769759,0.0003428026,0.001911079,0.0000919198,0.00009281246],"category_scores_gemma":[0.00008735518,0.0002137279,0.0002476655,0.001090505,0.00006895899,0.001514042,0.0002201907,0.0002972471,0.000237325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290946,"about_ca_system_score_gemma":0.0003744338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002100217,"about_ca_topic_score_gemma":0.000001548472,"domain_scores_codex":[0.9968523,0.00006374121,0.0009947263,0.0003265645,0.001527451,0.0002352572],"domain_scores_gemma":[0.9955614,0.0004937604,0.0007434096,0.0002694179,0.002717201,0.0002147728],"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":[0.00004193716,0.000730401,0.0004173467,0.00001202618,0.0003472271,0.00001771875,0.0001697645,0.3807882,0.0002917254,0.1933139,0.03568702,0.3881828],"study_design_scores_gemma":[0.0008144832,0.00008903375,0.001811348,0.00002200245,0.00002076579,0.0004598642,0.00001747003,0.0283742,0.0007497765,0.04513049,0.9222521,0.0002584431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001747826,0.0004991821,0.9848698,0.007151857,0.003882273,0.0002519356,0.00002151203,0.00007993704,0.0014957],"genre_scores_gemma":[0.5799876,0.00006401948,0.3852471,0.001364225,0.03281547,0.00007830362,0.0001004481,0.0000207642,0.0003221067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8865651,"threshold_uncertainty_score":0.8715572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00928222932080469,"score_gpt":0.2835271118827819,"score_spread":0.2742448825619772,"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."}}