{"id":"W4406049757","doi":"10.1080/10618600.2024.2446357","title":"Bayesian Partial Reduced-Rank Regression","year":2025,"lang":"en","type":"article","venue":"Journal of Computational and Graphical Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Università degli Studi di Milano","keywords":"Mathematics; Rank (graph theory); Dimensionality reduction; Regression; Regression analysis; Bayesian probability; Statistics; Curse of dimensionality; Artificial intelligence; Computer science; 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":[0.006762797,0.001337316,0.002753725,0.001320486,0.0007688646,0.002355676,0.002758084,0.001729018,0.005901516],"category_scores_gemma":[0.02788753,0.000873166,0.00179524,0.002219929,0.001790505,0.002157278,0.002186545,0.002508197,0.00232904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102015,"about_ca_system_score_gemma":0.002673707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006117882,"about_ca_topic_score_gemma":0.006432258,"domain_scores_codex":[0.9936289,0.0038103,0.000226022,0.001069494,0.0008891982,0.0003760957],"domain_scores_gemma":[0.9885168,0.00678626,0.0009568859,0.001998506,0.001478951,0.0002626656],"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":[0.0004391967,0.0001509688,0.005934401,0.0005422548,0.0004959657,0.0003027093,0.0003834594,0.4940172,0.002836477,0.2436937,0.01322168,0.237982],"study_design_scores_gemma":[0.00002925184,0.00004220524,0.001038004,0.00004098826,0.00004080861,0.00007390788,0.00002764933,0.9019523,0.0006650898,0.09228838,0.003764991,0.00003646107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006935622,0.0004400329,0.9902381,0.0003074017,0.00003672483,0.00005342891,0.0004246896,0.0003428264,0.001221034],"genre_scores_gemma":[0.3748266,0.00172862,0.6057798,0.0007442135,0.0003503081,0.0005432414,0.003354727,0.000485476,0.01218701],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006762797,"threshold_uncertainty_score":0.03576553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409694983498707,"score_gpt":0.3722382201307923,"score_spread":0.3312687217809216,"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."}}