{"id":"W2129454670","doi":"10.1373/clinchem.2006.068296","title":"Information for Authors: Is the Advice Regarding the Reporting of Residuals in Regression Analysis Incomplete? Should Cook’s Distance Be Included?","year":2006,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Outlier; Regression analysis; Regression; Residual; Statistics; Leverage (statistics); Linear regression; Standard deviation; Simple linear regression; Regression diagnostic; Regression toward the mean; Mathematics; Econometrics; Standard error; Line (geometry); Polynomial regression; Algorithm","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04066604,0.001319351,0.002780835,0.005811446,0.001664839,0.005237488,0.004902306,0.008392338,0.2404673],"category_scores_gemma":[0.490885,0.001566216,0.001830662,0.007139834,0.00166842,0.008732971,0.003053595,0.006017253,0.3081441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00269384,"about_ca_system_score_gemma":0.007867757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002175382,"about_ca_topic_score_gemma":0.003269649,"domain_scores_codex":[0.9446105,0.02226474,0.01340693,0.003100842,0.01544786,0.001169074],"domain_scores_gemma":[0.5083998,0.2511886,0.02862718,0.04457067,0.1614999,0.005713718],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001111939,0.00002756424,0.0003723285,0.0005431437,0.00001274674,0.00005465163,0.00009913882,0.00009670825,0.0001336291,0.001690726,0.9444164,0.05244167],"study_design_scores_gemma":[0.0000812458,0.00006791027,0.001451915,0.001524134,0.00003247073,0.000204815,0.0002725878,0.0008149883,0.001223193,0.01129638,0.9829432,0.00008729279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003160249,0.01206525,0.1564804,0.4493253,0.1306183,0.003146509,0.1084356,0.02181041,0.1149581],"genre_scores_gemma":[0.0475991,0.02135503,0.2722822,0.257975,0.04987021,0.009468478,0.07747237,0.02981021,0.2341673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.959334,"threshold_uncertainty_score":0.8044431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2625262379594796,"score_gpt":0.5228301300159328,"score_spread":0.2603038920564532,"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."}}