{"id":"W4214861559","doi":"10.3390/axioms11030112","title":"Cubical Homology-Based Machine Learning: An Application in Image Classification","year":2022,"lang":"en","type":"article","venue":"Axioms","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Persistent homology; Topological data analysis; Artificial intelligence; Histogram; Pattern recognition (psychology); Topology (electrical circuits); Pixel; Homology (biology); Computer science; Digital image; Mathematics; Algorithm; Image processing; Image (mathematics); Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073269,0.0004337691,0.0007568507,0.002373542,0.0005303205,0.001013647,0.00114215,0.0007359055,0.002083196],"category_scores_gemma":[0.003151956,0.0002596781,0.0007906333,0.002330354,0.001406886,0.001513176,0.001419939,0.001166175,0.0007081095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214752,"about_ca_system_score_gemma":0.001189453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007086664,"about_ca_topic_score_gemma":0.004788927,"domain_scores_codex":[0.9995458,0.0001055082,0.0000246763,0.0001231829,0.0001555848,0.00004524923],"domain_scores_gemma":[0.9985172,0.0005940911,0.0001984699,0.0002440522,0.0003540729,0.00009207274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001416153,0.0001236207,0.004640597,0.0002981503,0.00007625239,0.0001718655,0.0002890471,0.2763415,0.01146892,0.1009692,0.007975438,0.5975037],"study_design_scores_gemma":[0.000004254941,0.00002908559,0.0005490095,0.00001023377,0.000006175188,0.0000565517,0.00002033996,0.9683834,0.002327975,0.02621219,0.00238815,0.00001254649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02558786,0.001099724,0.9684992,0.000571539,0.00006215014,0.00006358323,0.0001972876,0.001309358,0.002609358],"genre_scores_gemma":[0.5543499,0.001461064,0.4385006,0.000246035,0.0001491911,0.0001277787,0.0007965203,0.000213471,0.004155376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007086664,"threshold_uncertainty_score":0.01409084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071472068302907,"score_gpt":0.2666788035664304,"score_spread":0.2459640828834013,"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."}}