{"id":"W7017206698","doi":"","title":"Algoritmes voor robuuste PCA en toepassingen voor multi-way gegevens.","year":2006,"lang":"nl","type":"article","venue":"Lirias (KU Leuven)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Research centre; Statistical analysis; Significant difference","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009943434,0.0007747803,0.001091565,0.000177146,0.000523989,0.0003156368,0.0006983195,0.0006262956,0.001962206],"category_scores_gemma":[0.001458982,0.0007459839,0.0004388932,0.0005768456,0.0003944188,0.000222131,0.0002904697,0.0007397062,0.003224381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920697,"about_ca_system_score_gemma":0.0001833745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007452405,"about_ca_topic_score_gemma":0.0002316385,"domain_scores_codex":[0.9951087,0.0006427063,0.001411538,0.001052257,0.0006448037,0.001139955],"domain_scores_gemma":[0.9943196,0.003196375,0.0005504841,0.00130085,0.0002609053,0.0003718002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001001638,0.003369103,0.000265871,0.0009512652,0.0005027316,0.0001740837,0.001566056,0.0001994235,0.004667715,0.6838923,0.1282068,0.1761046],"study_design_scores_gemma":[0.004548334,0.0003921542,0.01060734,0.0007125626,0.00162815,0.00008586004,0.0009208698,0.05882751,0.005896365,0.3833206,0.5304846,0.002575724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009989482,0.002195942,0.9533908,0.009073031,0.002049226,0.002205902,0.001820236,0.0005457908,0.01872956],"genre_scores_gemma":[0.05782254,0.00009275187,0.8790048,0.0004601478,0.002625075,0.0003146661,0.0001331356,0.0002443199,0.05930256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4022778,"threshold_uncertainty_score":0.9994991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06633842194813569,"score_gpt":0.362054248855497,"score_spread":0.2957158269073613,"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."}}