{"id":"W4386134063","doi":"10.1080/01621459.2023.2250098","title":"Spectral Clustering, Bayesian Spanning Forest, and Forest Process","year":2023,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Eisai; National Institute on Aging; Alzheimer's Association","keywords":"Cluster analysis; Bayesian probability; Environmental science; Forestry; Mathematics; Statistics; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004411137,0.001113794,0.001757007,0.003251607,0.001557324,0.001857518,0.002729787,0.002296151,0.003016405],"category_scores_gemma":[0.01587141,0.0008877753,0.001462513,0.004283518,0.00232357,0.004870645,0.002084308,0.002142207,0.001156411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217134,"about_ca_system_score_gemma":0.002040432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103178,"about_ca_topic_score_gemma":0.01308154,"domain_scores_codex":[0.9975219,0.001080846,0.00008172932,0.0005906529,0.0005301336,0.0001947391],"domain_scores_gemma":[0.995351,0.002516836,0.0006033179,0.0006060253,0.0006870708,0.0002357929],"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":[0.0000934932,0.0000746887,0.002049895,0.000183126,0.00009662884,0.0001069341,0.0002303068,0.5451425,0.001184418,0.3600769,0.00483158,0.08592948],"study_design_scores_gemma":[0.000006646876,0.000008916092,0.0002818787,0.00001748159,0.00001108993,0.00005976561,0.00001814108,0.8429911,0.0002523919,0.1551398,0.001195487,0.0000173113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005396292,0.0004268855,0.9927578,0.0001894307,0.00002479625,0.0000278547,0.00009719659,0.0001982886,0.0008813713],"genre_scores_gemma":[0.3074315,0.001988899,0.6838614,0.0003362769,0.0002476579,0.0003029993,0.001078305,0.0003324327,0.004420596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01103178,"threshold_uncertainty_score":0.02332854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116288481684367,"score_gpt":0.2962793568059756,"score_spread":0.2851164719891319,"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."}}