{"id":"W2148939588","doi":"10.1198/tast.2009.0012","title":"Where's Waldo? Visualizing Collinearity Diagnostics","year":2009,"lang":"en","type":"article","venue":"The American Statistician","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineers Without Borders Canada","funders":"","keywords":"Collinearity; Biplot; Salient; Computer science; Rank (graph theory); Statistics; Software; Simple (philosophy); Matrix (chemical analysis); Data mining; Mathematics; Pattern recognition (psychology); Artificial intelligence; Combinatorics; Programming language","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":[0.0005081649,0.0002384093,0.0004978385,0.00004323236,0.0002903626,0.0000576035,0.0003071495,0.00002815026,0.00005602451],"category_scores_gemma":[0.003567367,0.0001702217,0.00006298516,0.000340564,0.0004272332,0.00005827015,0.00004876681,0.0002776868,0.00003224202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000617323,"about_ca_system_score_gemma":0.0000466282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287228,"about_ca_topic_score_gemma":0.0000790883,"domain_scores_codex":[0.9981226,0.0003204622,0.0004105984,0.0003022756,0.0003446245,0.0004994037],"domain_scores_gemma":[0.9933429,0.005575606,0.0003214419,0.0004737459,0.0001182974,0.0001679477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005303482,0.0001262689,0.0000537607,0.00001894676,0.00002324304,0.00004206681,0.0003931054,0.00002125672,0.0001634394,0.7685071,0.008715265,0.2218825],"study_design_scores_gemma":[0.0002340948,0.0004793106,0.003227504,0.0000490448,0.0001037806,0.00001113658,0.0004669554,0.005068413,0.0001115189,0.9836532,0.006279771,0.0003152519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007438352,0.0001269931,0.9879232,0.001309027,0.00009277419,0.000298126,0.0002108519,0.000139625,0.00246107],"genre_scores_gemma":[0.1892274,0.0003213598,0.8076728,0.002255859,0.0001929068,0.00001894375,0.00000691523,0.00003798621,0.0002658602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2215672,"threshold_uncertainty_score":0.6941439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09706303419290631,"score_gpt":0.4670670415790503,"score_spread":0.370004007386144,"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."}}