{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954607,0.0001073131,0.0002454905,0.0004639578,0.00006126866,0.00008294463,0.0005423331,0.00005936421,0.0000210853],"category_scores_gemma":[0.0004332369,0.00008036867,0.00005663374,0.0009220655,0.00001193767,0.0003069529,0.00004043191,0.0002977631,0.000009354211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005406071,"about_ca_system_score_gemma":0.00004309839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001320982,"about_ca_topic_score_gemma":0.000001074905,"domain_scores_codex":[0.9987611,0.0000124705,0.000476175,0.0001321775,0.0004712167,0.0001469229],"domain_scores_gemma":[0.9985655,0.0001179533,0.0003390396,0.0004172239,0.0004251118,0.0001351973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002204699,0.03206184,0.009327156,0.0009557299,0.002796795,0.001546873,0.008101372,0.045872,0.1891321,0.1159748,0.1237564,0.4682703],"study_design_scores_gemma":[0.01331728,0.001752711,0.002306993,0.0005941046,0.001162325,0.004156457,0.001237558,0.8591649,0.04189525,0.06219974,0.01050305,0.001709627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4008037,0.0001989126,0.5968381,0.001526349,0.00004710778,0.00009346368,0.00001345329,0.00003104894,0.0004478905],"genre_scores_gemma":[0.7556123,0.000048748,0.2438301,0.0001877508,0.0001270977,3.779075e-7,0.000003931733,0.0000120881,0.000177632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8132929,"threshold_uncertainty_score":0.3277339,"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."}}