{"id":"W2929877533","doi":"","title":"Sequences of spanning trees for L-infinity Delaunay triangulations","year":2018,"lang":"en","type":"article","venue":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Delaunay triangulation; Combinatorics; Spanning tree; Mathematics; Computer science; Constrained Delaunay triangulation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127187,0.0005665621,0.0006677954,0.001920511,0.0009557009,0.001385525,0.001471317,0.0007931922,0.00419579],"category_scores_gemma":[0.01107056,0.0006441999,0.0006148337,0.0012959,0.001083435,0.003116562,0.002605809,0.00145521,0.001045465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009437716,"about_ca_system_score_gemma":0.000437453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008986082,"about_ca_topic_score_gemma":0.001080571,"domain_scores_codex":[0.9990128,0.0002362365,0.0001007922,0.0001947469,0.000358093,0.00009729638],"domain_scores_gemma":[0.9950772,0.002585328,0.0007136227,0.0003963656,0.0007711099,0.000456365],"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":[0.0003999894,0.0001355993,0.0061407,0.0007589539,0.00007374358,0.0008192657,0.00199628,0.2747719,0.02710613,0.5105869,0.005267805,0.1719427],"study_design_scores_gemma":[0.00004131469,0.0002004687,0.001516443,0.0001868651,0.00002352723,0.0008976446,0.0005825572,0.6599999,0.008908005,0.3150962,0.01250039,0.0000466155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1361875,0.0007988576,0.8531655,0.000328463,0.00004378324,0.00008478098,0.0003652038,0.0003514707,0.008674375],"genre_scores_gemma":[0.5023146,0.001110305,0.4883242,0.0001823495,0.00007856221,0.0002957734,0.001969873,0.0003305303,0.005393802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00419579,"threshold_uncertainty_score":0.0140363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773748612802775,"score_gpt":0.2745958279852234,"score_spread":0.2468583418571957,"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."}}