{"id":"W4243115535","doi":"10.22215/etd/2015-11052","title":"Flips and Spanners","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Neighbourhood (mathematics); Computer science; Combinatorics; Line segment; Line graph; Graph; Mathematics; Artificial intelligence","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":[0.000386972,0.0007216893,0.0007405818,0.001164614,0.001110382,0.00194766,0.0007691053,0.0008728631,0.02420108],"category_scores_gemma":[0.001868384,0.0003987135,0.0006966568,0.0009755209,0.00155979,0.00327403,0.002268267,0.001574893,0.003339025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556504,"about_ca_system_score_gemma":0.000369319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006584269,"about_ca_topic_score_gemma":0.001167328,"domain_scores_codex":[0.9996918,0.00005261583,0.00002104166,0.0001015087,0.00007898006,0.00005392572],"domain_scores_gemma":[0.9996632,0.00009273204,0.00003342607,0.00008039692,0.00007850712,0.00005176711],"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":[0.00007210996,0.00003427685,0.0003251083,0.0001624335,0.00002238558,0.0001016307,0.0002687127,0.005727459,0.002038247,0.8312132,0.03296858,0.1270657],"study_design_scores_gemma":[0.00001013644,0.00003523707,0.000375577,0.00008073595,0.00002385583,0.0002059878,0.0001751677,0.007103948,0.001627975,0.8721227,0.1182151,0.00002348742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1113784,0.03621008,0.521315,0.008768134,0.02820858,0.000147357,0.00122157,0.001231468,0.2915195],"genre_scores_gemma":[0.5407479,0.01869956,0.1228991,0.002551932,0.008051393,0.0001565321,0.002592186,0.002152616,0.3021486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02420108,"threshold_uncertainty_score":0.08096075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618646814355755,"score_gpt":0.2776634022499115,"score_spread":0.261476934106354,"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."}}