{"id":"W2551761829","doi":"10.1002/sta4.113","title":"Visualization of robust L1PCA","year":2016,"lang":"en","type":"article","venue":"Stat","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Genomics Institute; Cystic Fibrosis Canada; Genome Canada; Ontario Genomics; Cystic Fibrosis Foundation","keywords":"Principal component analysis; Outlier; Visualization; Robust principal component analysis; Computer science; Representation (politics); Principal (computer security); Population; Norm (philosophy); Population stratification; Data set; Set (abstract data type); Data mining; Mathematics; Artificial intelligence; Pattern recognition (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002523896,0.001399534,0.0008521756,0.003306741,0.0006542213,0.002808279,0.0008793976,0.001008735,0.01040623],"category_scores_gemma":[0.01138738,0.0004689137,0.001121258,0.002272432,0.0008547234,0.001576682,0.002219408,0.001767739,0.002667432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000616732,"about_ca_system_score_gemma":0.001509237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221351,"about_ca_topic_score_gemma":0.001310859,"domain_scores_codex":[0.9987097,0.0004723285,0.00006830016,0.0002489625,0.0003784409,0.0001222553],"domain_scores_gemma":[0.9963631,0.001719636,0.0003740208,0.0004958927,0.0009016643,0.0001457023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007117768,0.0001240782,0.006164396,0.0008264654,0.0002500593,0.0008322982,0.001941049,0.1911346,0.04564625,0.1365374,0.0802763,0.5355555],"study_design_scores_gemma":[0.00007209371,0.0001011716,0.007143559,0.0001351877,0.00005195004,0.0006031314,0.0003543393,0.7800187,0.01666141,0.1468993,0.04776953,0.0001896475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01691267,0.0004767526,0.9680408,0.001084335,0.0001724567,0.00006923951,0.001665699,0.006519265,0.005058729],"genre_scores_gemma":[0.3852435,0.001174694,0.5980326,0.0004702149,0.0003371575,0.0004533004,0.004129376,0.003995242,0.006163877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01040623,"threshold_uncertainty_score":0.03481227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1772460752989591,"score_gpt":0.4623745827884682,"score_spread":0.285128507489509,"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."}}