{"id":"W7133355104","doi":"10.20382/jocg.v17i1a1","title":"Relating interleaving and Fréchet distances via ordered merge trees","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interleaving; Merge (version control); Monotone polygon; Topology (electrical circuits); Binary number","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003072093,0.0001169693,0.0002853511,0.001817053,0.000188514,0.000113979,0.000665391,0.00005935204,0.00003227944],"category_scores_gemma":[0.0001842144,0.0001037917,0.0001380871,0.003756667,0.0000864654,0.0008307249,0.0003132131,0.000222586,0.000002481373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007790346,"about_ca_system_score_gemma":0.00007491753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002478793,"about_ca_topic_score_gemma":0.00001075704,"domain_scores_codex":[0.998879,0.00009466949,0.0003385,0.0002135445,0.0003187734,0.0001554681],"domain_scores_gemma":[0.9985558,0.0005623802,0.0003514454,0.0001246839,0.000306734,0.00009894752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001909541,0.0004699472,0.07170415,0.00008409544,0.001481857,0.0006613304,0.0006354948,0.08787103,0.0004599848,0.4408733,0.003661511,0.3919064],"study_design_scores_gemma":[0.005627957,0.00116353,0.3620219,0.0005367501,0.0006458411,0.000328085,0.002914066,0.2539141,0.0003687944,0.199136,0.172019,0.001324006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499054,0.0004722326,0.8454072,0.001239857,0.0001957858,0.00002758161,0.00000479275,0.00002242724,0.002724728],"genre_scores_gemma":[0.9694328,0.00006371579,0.02908109,0.0001410556,0.00003296054,4.568869e-8,0.000003616765,0.000002214255,0.001242554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8195273,"threshold_uncertainty_score":0.4232501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00720926137145218,"score_gpt":0.2168204511209113,"score_spread":0.2096111897494591,"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."}}