{"id":"W4393236250","doi":"10.21105/joss.06321","title":"TDApplied: An R package for machine learning andinference with persistence diagrams","year":2024,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Topological data analysis; Persistent homology; Inference; Computer science; Persistence (discontinuity); Variety (cybernetics); Theoretical computer science; Diagram; Machine learning; Artificial intelligence; Data mining; Algorithm","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":[0.005737662,0.003943093,0.003976415,0.003949801,0.0009942093,0.004117098,0.005338398,0.001674419,0.1454954],"category_scores_gemma":[0.03468635,0.001884619,0.004997471,0.003307153,0.001143015,0.004128905,0.004405079,0.005067915,0.0968679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016465,"about_ca_system_score_gemma":0.004159743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082632,"about_ca_topic_score_gemma":0.005301684,"domain_scores_codex":[0.9959688,0.001487312,0.0003829748,0.0009734655,0.0008697093,0.0003177624],"domain_scores_gemma":[0.9805878,0.01439528,0.0009365036,0.002272592,0.001358211,0.0004496463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008183011,0.0001213659,0.005113553,0.005162085,0.002125396,0.0004890439,0.0003903515,0.009297431,0.001926632,0.01904636,0.8255687,0.1299408],"study_design_scores_gemma":[0.0009113989,0.0002538463,0.00476778,0.000930122,0.0009773799,0.0008557473,0.0001949257,0.06886394,0.005996529,0.1368446,0.7790641,0.0003397146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002652986,0.002443999,0.4380178,0.0009840376,0.001557558,0.0004810927,0.1215902,0.424893,0.007379491],"genre_scores_gemma":[0.04213071,0.002454042,0.5810955,0.001783527,0.0007439886,0.005121219,0.1154984,0.234016,0.01715671],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1454954,"threshold_uncertainty_score":0.4867306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598616535528826,"score_gpt":0.2868465208597668,"score_spread":0.2408603555044785,"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."}}