{"id":"W4288769727","doi":"10.3934/fods.2022014","title":"Statistical inference for persistent homology applied to simulated fMRI time series data","year":2022,"lang":"en","type":"article","venue":"Foundations of Data Science","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Persistent homology; Topological data analysis; Inference; Statistical inference; Computer science; Time series; Series (stratigraphy); Statistical hypothesis testing; Conditional independence; Data mining; Artificial intelligence; Machine learning; Algorithm; Mathematics; Statistics; Biology","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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001597024,0.0001033688,0.0002160852,0.0004586542,0.0009141269,0.0002234581,0.01212684,0.00001812734,0.0004861367],"category_scores_gemma":[0.002058894,0.00009415426,0.00002305418,0.004236577,0.0005801925,0.002291032,0.0142863,0.0000956838,0.00008308188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005322183,"about_ca_system_score_gemma":0.0004294932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009743348,"about_ca_topic_score_gemma":0.00001359415,"domain_scores_codex":[0.997573,0.00004955902,0.0003301579,0.001086151,0.0006153908,0.0003457719],"domain_scores_gemma":[0.9951944,0.0006630666,0.0001247139,0.003687809,0.0001808813,0.0001490799],"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":[0.00006857222,0.0007108535,0.0002813907,0.00002249052,0.0001061405,0.00000652322,0.000387379,0.02471536,0.002574842,0.8577766,0.02942442,0.0839254],"study_design_scores_gemma":[0.0004225528,0.0008489258,0.002739884,0.000003500755,0.00009253348,0.00001920372,0.0002931806,0.7585315,0.00008511198,0.01081492,0.2257008,0.0004479305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001840065,0.00001830656,0.9845604,0.003050728,0.0001478056,0.0003163541,0.009570775,0.00005967635,0.0004359008],"genre_scores_gemma":[0.621734,0.000004611803,0.3714082,0.0002882098,0.00001862804,0.00002955629,0.006275097,0.000003896443,0.0002378648],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8469617,"threshold_uncertainty_score":0.993686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08636553521497028,"score_gpt":0.3541447604522728,"score_spread":0.2677792252373026,"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."}}