{"id":"W4312164547","doi":"10.1002/cjs.11755","title":"Asymptotic distribution of one‐component partial least squares regression estimators in high dimensions","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional del Litoral; Fondo para la Investigación Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Mathematics; Asymptotic distribution; Estimator; Partial least squares regression; Statistics; Linear regression; Univariate; Applied mathematics; Regression analysis; Asymptotic analysis; Confidence interval; Least-squares function approximation; Linear model; Infinity; Multivariate statistics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000160975,0.0001116802,0.0003135662,0.0002701726,0.0001839842,0.00001688536,0.0001984652,0.00004469864,0.001860938],"category_scores_gemma":[0.0003392197,0.0001125365,0.00005856993,0.0004115119,0.00009868207,0.00004725179,0.00002662664,0.0003822137,0.000001754754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005761972,"about_ca_system_score_gemma":0.0007420394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005158284,"about_ca_topic_score_gemma":0.001700736,"domain_scores_codex":[0.998731,0.0000404684,0.00053289,0.0001089969,0.0003261366,0.0002605167],"domain_scores_gemma":[0.9988455,0.000148071,0.0004131828,0.000136637,0.0001259424,0.000330721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000677302,0.001626144,0.7249194,0.000783635,0.00104309,0.004254813,0.002422896,0.08182488,0.04227491,0.06772832,0.06476524,0.007679393],"study_design_scores_gemma":[0.01597052,0.003456444,0.5430502,0.00237704,0.00507752,0.001642659,0.0196969,0.0351639,0.3037491,0.03722263,0.0286527,0.003940445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919643,0.0006031194,0.005026604,0.0001929829,0.0001968212,0.00002951007,0.001887566,0.000003920617,0.00009516339],"genre_scores_gemma":[0.998245,0.00001821505,0.001421708,0.00001721155,0.00004885913,0.000002151778,0.0001771655,0.00001208015,0.00005758026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2614742,"threshold_uncertainty_score":0.9990515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700833823382478,"score_gpt":0.2453101476248169,"score_spread":0.2283018093909921,"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."}}