{"id":"W1968541942","doi":"10.1007/s00454-004-1108-4","title":"Covering Things with Things","year":2004,"lang":"en","type":"article","venue":"Discrete & Computational Geometry","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Fonds De La Recherche Scientifique - FNRS","keywords":"Mathematics; Combinatorics; Dimension (graph theory); Running time; Time complexity; Discrete mathematics; Computational geometry; Notation; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368665,0.0001894726,0.000171512,0.000213695,0.0002700262,0.0003126774,0.000616536,0.00004559015,0.00002190975],"category_scores_gemma":[0.00004276154,0.0001560321,0.00006896237,0.0008068171,0.00005804997,0.001212194,0.0002063568,0.0003128414,0.0001069698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006139259,"about_ca_system_score_gemma":0.0001197072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001315199,"about_ca_topic_score_gemma":7.223324e-7,"domain_scores_codex":[0.9983897,0.00002915644,0.0001994794,0.0004466695,0.0006289641,0.0003060487],"domain_scores_gemma":[0.99928,0.0001173543,0.0001166598,0.0002579419,0.000103749,0.0001242432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000107882,0.00004991479,0.00146107,0.00002465291,0.00004925363,0.00006198059,0.001596704,0.8013075,0.00003748242,0.1827022,0.0000646519,0.01263382],"study_design_scores_gemma":[0.002763709,0.0004235685,0.04771915,0.0002445238,0.00002224744,0.000381961,0.000185621,0.8319869,0.0002932661,0.1105192,0.004345278,0.001114608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.066867,0.00007270228,0.9274619,0.002374022,0.0001715158,0.00008054327,0.000002306154,0.000340487,0.002629552],"genre_scores_gemma":[0.7209353,0.000001514072,0.2775156,0.001284558,0.00007799036,0.000004803258,0.0000218687,0.00001407381,0.0001442413],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6540684,"threshold_uncertainty_score":0.6362803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005501027611406248,"score_gpt":0.2283880361121284,"score_spread":0.2228870085007222,"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."}}