{"id":"W1791109262","doi":"10.1007/978-3-642-34191-5_3","title":"A History of Flips in Combinatorial Triangulations","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Graph Labeling and Dimension Problems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematical proof; Computer science; Enhanced Data Rates for GSM Evolution; Theoretical computer science; Combinatorics; Artificial intelligence; Mathematics; 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":[0.001300764,0.0006353554,0.0007786946,0.003006789,0.002591284,0.003738172,0.001540175,0.002499184,0.01593099],"category_scores_gemma":[0.005923355,0.001056355,0.0006913544,0.00495161,0.00790997,0.00898463,0.003180022,0.004364045,0.002844773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991438,"about_ca_system_score_gemma":0.001009854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126106,"about_ca_topic_score_gemma":0.002680674,"domain_scores_codex":[0.9989539,0.0003526096,0.00006405338,0.0002405653,0.0002816597,0.0001072029],"domain_scores_gemma":[0.9974241,0.001662047,0.00007766359,0.0004483451,0.0003043069,0.00008354192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001607376,0.00000858298,0.0000704249,0.0001483838,0.000003912023,0.00002816012,0.0002662108,0.0009026001,0.0001351305,0.9379683,0.01049962,0.04995255],"study_design_scores_gemma":[0.000008426265,0.00001148965,0.0001181844,0.0002711409,0.000005826787,0.0001663775,0.000133082,0.00156769,0.0004222288,0.7544154,0.2428582,0.00002186731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01603238,0.1614112,0.1547009,0.01253602,0.005912619,0.000111976,0.0006552651,0.0004991859,0.6481405],"genre_scores_gemma":[0.4456348,0.1866922,0.1384678,0.006372496,0.0106565,0.0003570646,0.001102638,0.001287547,0.2094289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01593099,"threshold_uncertainty_score":0.05329442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310466757687248,"score_gpt":0.2283262121548195,"score_spread":0.205221544577947,"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."}}