{"id":"W1616364397","doi":"10.1109/iccv.1998.710721","title":"Hyperbolic \"Smoothing\" of shapes","year":2002,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Smoothing; Term (time); Metric (unit); Unification; Diffusion; Gravitational singularity; Embedding; Constructive; Hierarchy; Mathematics; Flow (mathematics); Computer science; Process (computing); Algorithm; Mathematical analysis; Geometry; Artificial intelligence; Computer vision; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007363111,0.0000511366,0.00007870479,0.0001119915,0.00002798917,0.00004403168,0.0004849168,0.00002359389,0.0001040153],"category_scores_gemma":[0.000006276394,0.00004402099,0.00004032151,0.0003425915,0.00001759762,0.0001766622,0.0001397017,0.00002968441,0.00001184017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000270546,"about_ca_system_score_gemma":0.00000319223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001715417,"about_ca_topic_score_gemma":0.000001377434,"domain_scores_codex":[0.999513,0.00001379387,0.0001353973,0.0001325088,0.0001224303,0.00008282658],"domain_scores_gemma":[0.9996443,0.00002341905,0.00004038058,0.0002077068,0.00005474267,0.00002946265],"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":[6.20627e-8,0.00003495999,0.0003072872,0.000003719619,0.000002546441,5.021663e-7,0.0002254098,9.694555e-7,0.0002022344,0.9715621,0.002371504,0.02528872],"study_design_scores_gemma":[0.00009505833,0.00007916234,0.001444535,0.00001197788,0.000001355249,0.000005493549,0.000003255322,0.9443358,0.01389936,0.0225617,0.01743448,0.0001278249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004726739,0.0001173636,0.9817982,0.0002281723,0.00004514794,0.00004081546,1.992e-7,0.0003140772,0.01272924],"genre_scores_gemma":[0.957001,0.00009688455,0.04213256,0.0004243442,0.00001573978,0.000002400934,1.317377e-7,0.000003312645,0.000323675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9522742,"threshold_uncertainty_score":0.1795124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03069047648419409,"score_gpt":0.263207973924789,"score_spread":0.2325174974405949,"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."}}