{"id":"W2033393326","doi":"10.1002/cem.1206","title":"Modeling multi‐way data with linearly dependent loadings","year":2009,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Generalization; Context (archaeology); Linear model; Mathematics; Computer science; Algorithm; Biological system; Statistics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004021342,0.001240297,0.001028399,0.001167108,0.0004789109,0.001534026,0.001163105,0.001271366,0.002316981],"category_scores_gemma":[0.008790661,0.0006461937,0.001762465,0.001496593,0.001152045,0.00145215,0.00139382,0.002413634,0.0006948664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007573243,"about_ca_system_score_gemma":0.001182851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008844052,"about_ca_topic_score_gemma":0.008476739,"domain_scores_codex":[0.9974439,0.001159174,0.0001060241,0.000571589,0.000498403,0.0002207997],"domain_scores_gemma":[0.9950843,0.003455783,0.0004322001,0.0004853134,0.000447012,0.00009537132],"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":[0.0001720269,0.0002380063,0.007420628,0.0002007772,0.0003475906,0.000248936,0.0004339632,0.8303643,0.009241204,0.01715435,0.00136153,0.1328167],"study_design_scores_gemma":[0.0000041755,0.00002272857,0.0008005355,0.000005592826,0.000007871062,0.00002218893,0.0000244621,0.9933606,0.0006005308,0.004674627,0.0004617042,0.00001487714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03339553,0.0001193806,0.9649174,0.0001707779,0.00003008502,0.00007596536,0.0001908917,0.0005003875,0.0005995291],"genre_scores_gemma":[0.5814978,0.0003195884,0.4136016,0.0001645947,0.00008746915,0.000343021,0.0007477186,0.0002137376,0.003024387],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008844052,"threshold_uncertainty_score":0.02126718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1329767601637393,"score_gpt":0.3669497680814434,"score_spread":0.2339730079177041,"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."}}