{"id":"W4312328230","doi":"10.1109/access.2022.3229008","title":"Topological Forest","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Random forest; Metric (unit); Computer science; Topology (electrical circuits); Reduction (mathematics); Inference; Representation (politics); Decision tree; Mathematics; Artificial intelligence; 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":[0.001544105,0.001090503,0.001196703,0.002376413,0.0007799285,0.001773587,0.003379766,0.001515707,0.007586193],"category_scores_gemma":[0.007041139,0.0005568476,0.001531353,0.002013503,0.0008571293,0.004394174,0.001716216,0.001661182,0.002797903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008959702,"about_ca_system_score_gemma":0.001416275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004866593,"about_ca_topic_score_gemma":0.006938904,"domain_scores_codex":[0.9986513,0.0003590428,0.00006747533,0.0003780883,0.0003798294,0.0001641674],"domain_scores_gemma":[0.99762,0.001107967,0.0002013348,0.0003688801,0.0005604461,0.0001411955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003684946,0.0001866716,0.005351267,0.0002296356,0.0002167267,0.0002043271,0.00009884824,0.610123,0.002866331,0.0615326,0.01949363,0.2993286],"study_design_scores_gemma":[0.00001526315,0.00003819844,0.0002144821,0.00001706978,0.0000236126,0.00006618378,0.00001158399,0.9650388,0.0005428084,0.03097124,0.003047947,0.00001272039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01043543,0.0004287871,0.982126,0.000524621,0.0001250204,0.00006840302,0.001160216,0.002275559,0.002855879],"genre_scores_gemma":[0.5342754,0.0007286033,0.4482566,0.0009694947,0.0004089804,0.0005094622,0.008020222,0.0005343764,0.006296892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007586193,"threshold_uncertainty_score":0.02537829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04576342813539561,"score_gpt":0.3044053996242905,"score_spread":0.2586419714888949,"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."}}