{"id":"W2065102439","doi":"10.1117/12.840333","title":"Critical region analysis of scalar fields in arbitrary dimensions","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Bishop's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social connectedness; Scalar (mathematics); Persistent homology; Computational topology; Computer science; Homology (biology); Scalar field; Topological data analysis; Topology (electrical circuits); Theoretical computer science; Mathematics; Algorithm; Geometry; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005605488,0.0002172852,0.0005852226,0.0005195019,0.00005225435,0.00008464801,0.001502075,0.0001958512,0.000009250042],"category_scores_gemma":[0.001278381,0.000168552,0.0008990383,0.00283489,0.0001909317,0.0007276004,0.0002283918,0.0002978113,5.984472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006262987,"about_ca_system_score_gemma":0.0000211047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000197929,"about_ca_topic_score_gemma":3.877723e-7,"domain_scores_codex":[0.9977994,3.132677e-8,0.0007637652,0.0004396344,0.00065012,0.0003470318],"domain_scores_gemma":[0.9981724,0.0003365679,0.0002542148,0.0001101031,0.001004665,0.0001220635],"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":[0.00002735882,0.0002859135,0.001341081,0.00006708288,0.0005342091,4.970482e-7,0.0001157569,0.0003691112,0.02539438,0.9702038,0.0008301933,0.0008306899],"study_design_scores_gemma":[0.001924689,0.001737986,0.09377451,0.0005062805,0.00218166,0.00003190555,0.001112045,0.7572976,0.06098929,0.07749401,0.001737252,0.001212809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882725,0.0001390397,0.002380784,0.007679696,0.00008278793,0.0001585458,0.00001978344,0.00004911809,0.001217704],"genre_scores_gemma":[0.8963301,0.00009947856,0.1031713,0.0002566322,0.0000674353,0.00001787207,0.000005891831,0.00000781245,0.00004350712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8927097,"threshold_uncertainty_score":0.6873353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362257339636969,"score_gpt":0.2451940259953292,"score_spread":0.2315714525989595,"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."}}