{"id":"W2341383368","doi":"10.46298/dmtcs.3556","title":"Point process stabilization methods and dimension estimation","year":2008,"lang":"en","type":"article","venue":"Discrete Mathematics & Theoretical Computer Science","topic":"Point processes and geometric inequalities","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Science Foundation","keywords":"Mathematics; Dimension (graph theory); Estimation; Point process; Point (geometry); Process (computing); Statistics; Applied mathematics; Combinatorics; Geometry; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002737316,0.0002445805,0.0003765879,0.0002732295,0.0005904127,0.0001634144,0.000409104,0.00007099116,0.00007006201],"category_scores_gemma":[0.002333293,0.0001803023,0.00005570572,0.001117133,0.002041402,0.0005822718,0.0003217268,0.0001537369,0.000008602749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003668035,"about_ca_system_score_gemma":0.00008835201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001168995,"about_ca_topic_score_gemma":1.789231e-7,"domain_scores_codex":[0.9976582,0.0001089994,0.0005619053,0.0004879437,0.0007504316,0.0004325129],"domain_scores_gemma":[0.9975361,0.001226482,0.0002026192,0.0004540866,0.0003858579,0.0001948732],"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":[0.000006124002,0.00008386331,0.00001660872,0.0003270745,0.000005865068,0.000003181787,0.006049941,0.00005563951,0.0002027219,0.9906421,0.00001636318,0.002590499],"study_design_scores_gemma":[0.0001194392,0.00008582827,0.00002380339,0.00007210143,0.00001579473,0.00008486828,0.0002395177,0.4133218,0.003630599,0.5822428,0.000003051825,0.0001604209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2165658,0.00003171812,0.7813581,0.0001840152,0.00009105755,0.000257008,0.000002699228,0.0001205446,0.001389115],"genre_scores_gemma":[0.5197055,0.000009484705,0.4801712,0.00005168902,0.00002459277,0.000010374,0.000001696588,0.00001330152,0.00001218818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4132662,"threshold_uncertainty_score":0.7521631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144402936412108,"score_gpt":0.3653961995174815,"score_spread":0.3239521701533605,"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."}}