{"id":"W4353031183","doi":"10.1017/9781107588493.006","title":"Linear Regression","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bayesian multivariate linear regression; Proper linear model; Regression diagnostic; Linear regression; Segmented regression; Statistics; Quantile regression; Mathematics; Categorical variable; Simple linear regression; Linear predictor function; Regression; Principal component regression; Overfitting; Regression analysis; General linear model; Cross-sectional regression; Multivariate statistics; Lasso (programming language); Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.004999084,0.002626545,0.002154791,0.002059218,0.0009542215,0.004863467,0.003631027,0.002228579,0.1004845],"category_scores_gemma":[0.01872018,0.0008511483,0.002014622,0.004394243,0.0009859918,0.002764602,0.003128383,0.002941439,0.1079632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562639,"about_ca_system_score_gemma":0.002552057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004596633,"about_ca_topic_score_gemma":0.00415106,"domain_scores_codex":[0.9930215,0.002145768,0.0003620959,0.001776156,0.00240546,0.0002889707],"domain_scores_gemma":[0.993697,0.002447879,0.0004482312,0.001347299,0.001877026,0.000182542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001157225,0.00009194882,0.001842638,0.001432053,0.0002955386,0.00018289,0.0002154196,0.01808811,0.001907788,0.06662329,0.3659304,0.5432742],"study_design_scores_gemma":[0.00002936717,0.00008784005,0.001371285,0.0004944218,0.00009485688,0.0002713964,0.0001299264,0.02441816,0.001895403,0.06135301,0.9097617,0.00009270912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003412961,0.01886394,0.7837346,0.005232668,0.004246891,0.0005213048,0.01706532,0.0149472,0.1519752],"genre_scores_gemma":[0.06001175,0.02637962,0.4902911,0.003719242,0.002413513,0.001545452,0.02727844,0.01137605,0.3769849],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1004845,"threshold_uncertainty_score":0.3361541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270959293579052,"score_gpt":0.2064613656403654,"score_spread":0.1793654362824602,"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."}}