{"id":"W4210743659","doi":"10.1016/j.comgeo.2020.101632","title":"Preface","year":2020,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Memorial University of Newfoundland; Fields Institute for Research in Mathematical Sciences","keywords":"Delaunay triangulation; Computer science; Tetrahedron; Algorithm; Pruning; Computation; Representation (politics); Triangulation; Alpha (finance); Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009952596,0.00008502154,0.00008044419,0.00003924563,0.00005253053,0.00002764661,0.0002035384,0.00008033002,0.00009645795],"category_scores_gemma":[0.0003065267,0.00007857273,0.00005595056,0.0001839281,0.00009119465,0.000002460814,0.000163356,0.0000828404,0.0002455462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005667328,"about_ca_system_score_gemma":0.0000931107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001108597,"about_ca_topic_score_gemma":3.403529e-7,"domain_scores_codex":[0.9991371,0.00001891515,0.0001687763,0.00018569,0.0003065576,0.000182931],"domain_scores_gemma":[0.9995052,0.00002153874,0.00003572723,0.00009832215,0.0001172755,0.0002219086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006590105,0.000582821,0.02604458,0.0008039366,0.0006249219,0.00003108012,0.001074826,0.0572025,0.1762884,0.002325733,0.5028049,0.2315573],"study_design_scores_gemma":[0.002537146,0.001923268,0.05222224,0.00002464438,0.00002610853,0.00003016166,0.0004234565,0.06871682,0.04358351,0.002337502,0.8272944,0.000880766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7891462,0.0008864944,0.1953252,0.005894349,0.0002527932,0.0003016498,0.00008208455,0.00004961856,0.008061556],"genre_scores_gemma":[0.9874446,0.00004912556,0.008624845,0.002782104,0.0003714121,0.000003914989,0.0003172034,0.000009809401,0.0003970269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3244894,"threshold_uncertainty_score":0.3204103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450965218970343,"score_gpt":0.2886808771066543,"score_spread":0.2641712249169509,"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."}}