{"id":"W1592200830","doi":"10.1002/9780470391341.ch17","title":"Estimation and Model Selection for More Complex Models","year":2008,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Model selection; Estimation; Selection (genetic algorithm); Statistics; Econometrics; Computer science; Mathematics; Artificial intelligence; 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"],"consensus_categories":[],"category_scores_codex":[0.0002670597,0.0002693057,0.0005122854,0.00008382513,0.00009544168,0.00003440536,0.00006907049,0.0002566219,0.00005732218],"category_scores_gemma":[0.001594921,0.0002587773,0.00002020466,0.00007493046,0.0004938818,0.00007204071,0.00005072301,0.0001809799,3.674829e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000471158,"about_ca_system_score_gemma":0.00007584864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008271153,"about_ca_topic_score_gemma":0.0004385743,"domain_scores_codex":[0.9987286,0.00008431786,0.0004037374,0.0004040844,0.0001536109,0.0002255869],"domain_scores_gemma":[0.9987001,0.0007834883,0.000170911,0.0001881124,0.00008276445,0.00007460466],"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":[0.00006288233,0.00007359636,0.00005699673,0.001902368,0.00001840214,8.504321e-7,0.0004691641,0.000603592,0.000001975537,0.9140906,0.04778576,0.03493375],"study_design_scores_gemma":[0.0001596198,0.00006782258,0.00001863846,0.000124214,0.0000222728,0.000006437597,0.00001224149,0.4790404,0.000001049639,0.5197356,0.0006670745,0.0001446166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008644152,0.0001385718,0.9897997,0.00005239619,0.00005085513,0.001001019,0.002790504,0.00008171856,0.005998794],"genre_scores_gemma":[0.0003159304,0.0007840249,0.9901972,0.00003543378,0.00002990804,0.0001586037,0.000119955,0.0001174881,0.008241475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4784368,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423163061886304,"score_gpt":0.3633268077123439,"score_spread":0.2210105015237135,"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."}}