{"id":"W2402764450","doi":"","title":"Grid Proximity Graphs: LOGs, GIGs and GIRLs.","year":2013,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Grid; Graph; Theoretical computer science; Mathematics","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":[0.0005172645,0.000515207,0.0006815779,0.001117669,0.00117158,0.002055586,0.001006051,0.001157165,0.003844574],"category_scores_gemma":[0.00803998,0.0004130132,0.0005118321,0.002580446,0.001779006,0.005345991,0.002263604,0.001684782,0.0005861773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101242,"about_ca_system_score_gemma":0.0007145897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208795,"about_ca_topic_score_gemma":0.002767828,"domain_scores_codex":[0.9987826,0.0002902447,0.0000808423,0.0003526577,0.0003308256,0.0001628173],"domain_scores_gemma":[0.9944497,0.002687982,0.0009099775,0.001082131,0.0004374564,0.0004327584],"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":[0.0009670471,0.000206534,0.02142824,0.000848071,0.00008932262,0.001519155,0.002023195,0.04449537,0.006461726,0.6187347,0.04125075,0.2619759],"study_design_scores_gemma":[0.00006437302,0.0001949853,0.005948347,0.0001658038,0.00008000075,0.003956386,0.002940278,0.1191455,0.007832814,0.7814628,0.07812183,0.00008682724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2728128,0.003544484,0.6707821,0.005277606,0.0004901458,0.0005574135,0.004045659,0.003046185,0.03944369],"genre_scores_gemma":[0.8429698,0.00138239,0.1401946,0.000940816,0.0002227035,0.0003405105,0.00354043,0.0003303017,0.01007838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003844574,"threshold_uncertainty_score":0.01286143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008767690436409204,"score_gpt":0.2031904632294892,"score_spread":0.19442277279308,"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."}}