{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004934502,0.0003742077,0.0004781457,0.000182542,0.00006115982,0.00004748241,0.0001361854,0.0004138387,0.002095302],"category_scores_gemma":[0.0007720739,0.0003366109,0.00002070581,0.0001804524,0.0006116752,0.0001719909,0.000124138,0.0003408548,0.0003220028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352669,"about_ca_system_score_gemma":0.00007495702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958889,"about_ca_topic_score_gemma":0.001800239,"domain_scores_codex":[0.9982708,0.0002320477,0.0004073402,0.0004349938,0.000287028,0.0003677878],"domain_scores_gemma":[0.9988791,0.0001280663,0.0003050729,0.0005232536,0.00004501366,0.0001194643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001756485,0.0002733558,0.00715792,0.002382671,0.00003459475,0.00001525771,0.0008007516,0.00002376779,0.00000919535,0.170039,0.7456012,0.07348669],"study_design_scores_gemma":[0.0005777954,0.000134987,0.002870671,0.002414183,0.00009060498,0.00002701299,0.00006007195,0.001301654,0.00001354949,0.221648,0.7700272,0.0008342062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0005218583,0.02084429,0.09595837,0.0002692512,0.003619184,0.006658153,0.03573015,0.002141357,0.8342574],"genre_scores_gemma":[0.0006691691,0.001316974,0.7841168,0.00002719948,0.0002076736,0.0001460848,0.001681179,0.0008567672,0.2109781],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6881585,"threshold_uncertainty_score":0.9999086,"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."}}