{"id":"W4250186214","doi":"10.1002/9781118162934.ch8","title":"Regression Estimation","year":2012,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Estimation; Statistics; Mathematics; Computer science; Engineering","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":[0.008209937,0.001867053,0.001894252,0.002883742,0.0007270922,0.003811804,0.003068183,0.001796773,0.03925174],"category_scores_gemma":[0.05115382,0.0006526548,0.00199829,0.004520307,0.0009028216,0.002783423,0.002211108,0.002524028,0.02968978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620154,"about_ca_system_score_gemma":0.002385116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004696711,"about_ca_topic_score_gemma":0.003404171,"domain_scores_codex":[0.9902806,0.004622553,0.0004146998,0.001800694,0.002512319,0.0003690348],"domain_scores_gemma":[0.9876324,0.006743046,0.0009793167,0.001896943,0.002605505,0.0001428294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009171338,0.0001081814,0.005953494,0.0009242137,0.0002783752,0.0001401145,0.0001794846,0.06137173,0.0007816429,0.1889178,0.0757355,0.6655177],"study_design_scores_gemma":[0.00006760926,0.0002177938,0.006236202,0.001172599,0.0002862369,0.0005583969,0.0004175071,0.3159608,0.003225127,0.2474107,0.4242833,0.0001638165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001415733,0.003001574,0.9685542,0.000990868,0.0005141644,0.0002267848,0.001926059,0.00139283,0.02197768],"genre_scores_gemma":[0.1162142,0.01658957,0.771874,0.001525076,0.001781423,0.001803962,0.01171566,0.002522413,0.07597359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03925174,"threshold_uncertainty_score":0.1313102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929251837617416,"score_gpt":0.2752424799585927,"score_spread":0.2559499615824185,"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."}}