{"id":"W4381331525","doi":"10.1016/j.jmva.2023.105206","title":"Tensor Stein-rules in a generalized tensor regression model","year":2023,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Estimator; Tensor (intrinsic definition); Applied mathematics; Covariate; Context (archaeology); Asymptotic distribution; Statistics; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007438566,0.0001660371,0.0006745072,0.001286172,0.00009033714,0.00004585642,0.0002606857,0.0001014274,0.0001001753],"category_scores_gemma":[0.0002914499,0.0001180239,0.000545753,0.00174139,0.00002508832,0.0001426359,0.00004955102,0.0002416636,0.000046111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007820013,"about_ca_system_score_gemma":0.00004418459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003779255,"about_ca_topic_score_gemma":0.00003767088,"domain_scores_codex":[0.9981083,0.0001347469,0.0009287988,0.0001896135,0.0004074119,0.0002311515],"domain_scores_gemma":[0.9982545,0.00030922,0.0006788147,0.0003194285,0.0003140102,0.0001239853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001020009,0.003307449,0.0215912,0.0001948732,0.009116603,0.000667869,0.009919702,0.5388883,0.3104117,0.06441981,0.032879,0.00758344],"study_design_scores_gemma":[0.002269923,0.0000358934,0.02110872,0.0001002973,0.001595605,0.0000186185,0.0003806673,0.9191966,0.001084316,0.05340779,0.0005357547,0.0002658204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750216,0.00003338774,0.02249291,0.002004867,0.00003358959,0.0001165145,0.00002604311,0.00005786592,0.0002132487],"genre_scores_gemma":[0.9229622,0.0001222443,0.07440162,0.0001121958,0.00008712866,0.00001357622,0.00001730182,0.00002761711,0.002256139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3803082,"threshold_uncertainty_score":0.4812875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07984146258435315,"score_gpt":0.3837853891623493,"score_spread":0.3039439265779961,"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."}}