{"id":"W2117667062","doi":"10.5555/982792.982854","title":"Minimizing the stabbing number of matchings, trees, and triangulations","year":2004,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Rounding; Iterated function; Combinatorics; Line segment; Spanning tree; Linear programming relaxation; Mathematics; Relaxation (psychology); Minimum spanning tree; Discrete geometry; Set (abstract data type); Computational geometry; Computer science; Mathematical optimization; Algorithm; Linear programming; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00119931,0.001012969,0.001250352,0.001313887,0.0008167606,0.001559852,0.001582642,0.001835057,0.003750302],"category_scores_gemma":[0.007303089,0.0008645168,0.0008650095,0.002547385,0.001251665,0.003753541,0.00136913,0.00128795,0.0005939263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444607,"about_ca_system_score_gemma":0.001098851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402831,"about_ca_topic_score_gemma":0.00479987,"domain_scores_codex":[0.9989742,0.0002867492,0.00005866105,0.0002046474,0.0002998848,0.0001758549],"domain_scores_gemma":[0.9971643,0.001737911,0.000370829,0.0003620391,0.0001762958,0.0001885201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003985944,0.0001330491,0.001431095,0.0002640419,0.00005220703,0.0001024752,0.0001656041,0.8253766,0.009592824,0.05822394,0.003305414,0.1009542],"study_design_scores_gemma":[0.0000342408,0.00009132265,0.0004144284,0.00002129046,0.0000216116,0.0000811621,0.00009383577,0.9339591,0.003960485,0.05988458,0.001426538,0.00001131751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1785667,0.0007222355,0.8126662,0.0005958471,0.00003773339,0.00009756448,0.000262185,0.0005212929,0.006530295],"genre_scores_gemma":[0.4239967,0.0007201064,0.5683312,0.0001066641,0.0000392332,0.0001470527,0.0006247819,0.0002693881,0.005764834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003750302,"threshold_uncertainty_score":0.012546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501163245387727,"score_gpt":0.2607570869298814,"score_spread":0.2457454544760041,"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."}}