{"id":"W2963492452","doi":"10.20382/jocg.v11i2a2","title":"Exact computation of the matching distance on 2-parameter persistence modules","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Austrian Science Fund","keywords":"Persistence (discontinuity); Computation; Computer science; Matching (statistics); Algorithm; Mathematics; Statistics; Engineering","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":[0.0002072713,0.0001233409,0.0002895193,0.0005179658,0.0001338869,0.00006180119,0.001206944,0.0000512241,0.00001648852],"category_scores_gemma":[0.0001892727,0.00009037011,0.0003219879,0.003208898,0.0001049128,0.0005401364,0.0002344959,0.0002720985,0.000006022785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006422744,"about_ca_system_score_gemma":0.00007027123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006397291,"about_ca_topic_score_gemma":4.285424e-7,"domain_scores_codex":[0.9984118,0.0001578275,0.0003496317,0.0002148268,0.0007270359,0.0001388962],"domain_scores_gemma":[0.9981358,0.0005576606,0.0006563794,0.000152993,0.000365971,0.0001311682],"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":[0.00007736773,0.0001494133,0.002020077,0.00002960776,0.0001812893,0.0000614033,0.0004397725,0.92834,0.0001044124,0.05711948,0.0005078461,0.01096935],"study_design_scores_gemma":[0.004199348,0.002361826,0.2555791,0.0004224987,0.0004359775,0.0001765681,0.002470284,0.6491738,0.001343987,0.06273144,0.01995593,0.001149305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2481053,0.00005838316,0.7476057,0.003692244,0.0001236976,0.00004079085,0.00001302603,0.00001247786,0.0003482859],"genre_scores_gemma":[0.9774122,0.00001430045,0.02194392,0.0005075432,0.00004591174,3.485991e-8,0.000002223479,0.000003299866,0.0000706362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7293068,"threshold_uncertainty_score":0.3685186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491083856105914,"score_gpt":0.2164718685251791,"score_spread":0.19156102996412,"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."}}