{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003806673,0.00039475,0.0006997491,0.0000944754,0.0000644044,0.00002642131,0.0001506921,0.0003826997,0.0004205523],"category_scores_gemma":[0.002980426,0.0003342682,0.00003502924,0.00007856239,0.000415565,0.00007650632,0.0001430152,0.0004138036,0.000004263997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006849828,"about_ca_system_score_gemma":0.00007157353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000033098,"about_ca_topic_score_gemma":0.001689972,"domain_scores_codex":[0.9981399,0.0001642601,0.0005226206,0.0005713023,0.0002432787,0.0003586742],"domain_scores_gemma":[0.9981719,0.0009132723,0.0002265294,0.0005070976,0.00005044218,0.0001307357],"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":[0.00008949315,0.0001781123,0.00006791049,0.001252697,0.0000181106,0.00001565159,0.0003020401,0.0001349983,0.000004691224,0.8255881,0.08380314,0.08854505],"study_design_scores_gemma":[0.0003610819,0.00005893411,0.000006142979,0.0006986919,0.00003134758,0.000005025528,0.00002535993,0.03630626,0.000005505954,0.9144688,0.04766651,0.0003663505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001334462,0.0006618007,0.9519191,0.00006122387,0.0001346869,0.0006766045,0.003004521,0.0001403565,0.04338831],"genre_scores_gemma":[0.00004223597,0.001444372,0.8489485,0.00003659665,0.00007968476,0.00007028996,0.00006242888,0.0002181553,0.1490978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1057095,"threshold_uncertainty_score":0.999911,"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."}}