{"id":"W1585765416","doi":"10.1002/9780471773757.ch7","title":"Multiple Regression Model","year":2005,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Estimator; Mathematics; Statistics; Nonparametric regression; Confidence interval; Regression analysis; Regression; Nonparametric statistics; Mean squared error; Polynomial regression; Applied mathematics","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":[0.004445023,0.002321016,0.002561503,0.001690491,0.0006127122,0.003699069,0.003555187,0.002902181,0.0289802],"category_scores_gemma":[0.01208152,0.0005596123,0.002018936,0.003531368,0.0009388023,0.003489689,0.001592624,0.003274363,0.01457627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202087,"about_ca_system_score_gemma":0.002206008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006091878,"about_ca_topic_score_gemma":0.004387785,"domain_scores_codex":[0.9955841,0.001669742,0.0002305276,0.001283604,0.001035922,0.0001962098],"domain_scores_gemma":[0.9960487,0.002070455,0.0005076247,0.0005028507,0.0007865241,0.00008376961],"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":[0.0001403109,0.0002166259,0.00751203,0.0008427525,0.0006744051,0.0005950259,0.0002914905,0.1352895,0.001106485,0.6708979,0.0458718,0.1365617],"study_design_scores_gemma":[0.000113352,0.0002334677,0.005999196,0.000356063,0.0003401257,0.0008005385,0.000162012,0.4238209,0.0007632143,0.4651946,0.1020732,0.0001432807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0103984,0.006780547,0.9180531,0.006297395,0.001515724,0.0004575308,0.008521426,0.001316278,0.04665956],"genre_scores_gemma":[0.4063872,0.01504698,0.3639348,0.003021331,0.002366592,0.001944276,0.009659857,0.000634785,0.1970042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0289802,"threshold_uncertainty_score":0.09694839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08103561141166797,"score_gpt":0.3797696767291832,"score_spread":0.2987340653175152,"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."}}