{"id":"W4391714964","doi":"10.1007/978-3-031-17299-1_2008","title":"Ordinary Least-Squares (OLS) Model","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ordinary least squares; Least-squares function approximation; Mathematics; Statistics; Econometrics","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":[0.000732763,0.0008412925,0.0007488514,0.0005668917,0.0003707985,0.001408028,0.001307097,0.0009074446,0.02182413],"category_scores_gemma":[0.002556847,0.0003358542,0.0005947236,0.0016843,0.000398402,0.001357587,0.0008952104,0.00144146,0.01774876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004434971,"about_ca_system_score_gemma":0.001001663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003073907,"about_ca_topic_score_gemma":0.004551205,"domain_scores_codex":[0.9994112,0.0001779018,0.00001960816,0.00009380704,0.0002729739,0.00002448447],"domain_scores_gemma":[0.9993939,0.0003292699,0.00003646554,0.00008113986,0.000146436,0.00001276134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004117614,0.00006443916,0.0009119784,0.0004069724,0.00008363355,0.0001251873,0.00009758395,0.06550741,0.001551279,0.4210364,0.153106,0.3570678],"study_design_scores_gemma":[0.00001238535,0.00005185571,0.001203079,0.0001732741,0.00007423922,0.0003305554,0.0001188709,0.2732615,0.002410917,0.3886222,0.3336724,0.00006871521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00185888,0.001730708,0.9154275,0.001026881,0.0005705673,0.00003896707,0.001723524,0.000926571,0.07669638],"genre_scores_gemma":[0.075024,0.0101764,0.5657815,0.00134056,0.0008213733,0.0002903686,0.005018415,0.001373227,0.3401741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02182413,"threshold_uncertainty_score":0.07300895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3495078738575638,"score_gpt":0.4529771381788655,"score_spread":0.1034692643213017,"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."}}