{"id":"W2098355410","doi":"10.1142/s0218195902000748","title":"APPROXIMATING THE DIAMETER, WIDTH, SMALLEST ENCLOSING CYLINDER, AND MINIMUM-WIDTH ANNULUS","year":2002,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Annulus (botany); Mathematics; Combinatorics; Cylinder; Dimension (graph theory); Upper and lower bounds; Running time; Point (geometry); Simple (philosophy); RADIUS; Set (abstract data type); Approximation algorithm; Geometry; Mathematical analysis; Algorithm; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001856673,0.001240801,0.001411448,0.001304743,0.0003448953,0.0009785206,0.001743064,0.001270045,0.001130709],"category_scores_gemma":[0.01278781,0.0007020025,0.0008109973,0.001144617,0.0009180536,0.003035671,0.001965496,0.00107387,0.0004909685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007810505,"about_ca_system_score_gemma":0.0007188435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718797,"about_ca_topic_score_gemma":0.00148756,"domain_scores_codex":[0.9991958,0.000190249,0.00005403607,0.0001688206,0.0002995539,0.00009147804],"domain_scores_gemma":[0.9958522,0.002802695,0.0004567436,0.000369945,0.0003297606,0.0001886142],"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":[0.0006591577,0.0001061111,0.004461686,0.0003616319,0.00005338106,0.0001540605,0.0002528541,0.7960715,0.01069506,0.06681596,0.003956124,0.1164125],"study_design_scores_gemma":[0.00003148179,0.00004557388,0.0004141324,0.00001588518,0.000009704118,0.00006754017,0.00002546688,0.9736719,0.002913492,0.02198331,0.0008083284,0.00001329245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06262825,0.000712636,0.9337693,0.0002174599,0.00003382404,0.00003179308,0.0001178003,0.0005716485,0.001917252],"genre_scores_gemma":[0.3267605,0.000633307,0.6700357,0.00005301276,0.00009005134,0.0001358988,0.0004316977,0.0003213822,0.001538507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001856673,"threshold_uncertainty_score":0.00981915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034885522583841,"score_gpt":0.2588979367072863,"score_spread":0.2385490814814479,"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."}}