{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007102206,0.001821351,0.00283702,0.001480532,0.000690106,0.00325114,0.002637573,0.001793722,0.01631732],"category_scores_gemma":[0.03480352,0.001344371,0.002576821,0.00293529,0.0008808866,0.003753587,0.002409079,0.004147285,0.00416177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751435,"about_ca_system_score_gemma":0.001458574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261744,"about_ca_topic_score_gemma":0.004532914,"domain_scores_codex":[0.9970366,0.001934031,0.0001380035,0.0004609612,0.0003433,0.00008715793],"domain_scores_gemma":[0.9825988,0.01466347,0.0005070007,0.001535184,0.0005551444,0.0001404537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000100092,0.0002656518,0.003551127,0.0005596599,0.0006782172,0.0003799575,0.0002934827,0.4432248,0.001213068,0.2744909,0.02187145,0.2533716],"study_design_scores_gemma":[0.00002613748,0.00002057036,0.0005404031,0.00004464252,0.00005229613,0.00007187769,0.00002832987,0.80862,0.0002829985,0.18569,0.00459664,0.00002610111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003125056,0.0002988841,0.9946139,0.000320304,0.00005162828,0.0000345538,0.0001909996,0.0003051141,0.001059426],"genre_scores_gemma":[0.07862843,0.001869738,0.9042167,0.0004826383,0.0004535175,0.0004524009,0.002115832,0.0008752954,0.01090544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01631732,"threshold_uncertainty_score":0.05458683,"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."}}