{"id":"W2025670680","doi":"10.1080/03610910701569531","title":"Selection of Models of Lagged Identification Rates and Lagged Association Rates Using AIC and QAIC","year":2007,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Akaike information criterion; Jackknife resampling; Statistics; Identification (biology); Econometrics; Association (psychology); Mathematics; Model selection; Selection (genetic algorithm); Lag; Computer science; Biology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02027982,0.001359421,0.001960764,0.003151471,0.001141675,0.004186353,0.002764121,0.00150858,0.008009125],"category_scores_gemma":[0.07792232,0.0009423973,0.002318326,0.003472403,0.0008385565,0.003406643,0.001506963,0.003576756,0.002152451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751543,"about_ca_system_score_gemma":0.003608349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549138,"about_ca_topic_score_gemma":0.01517463,"domain_scores_codex":[0.9931157,0.004772938,0.0004424045,0.000785498,0.0005541565,0.0003293183],"domain_scores_gemma":[0.9627502,0.02748858,0.00169426,0.003566113,0.003894453,0.0006064595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000881238,0.0002917484,0.08893932,0.0006525407,0.001449783,0.001206503,0.001037782,0.6345516,0.001620315,0.1407095,0.01706493,0.1115946],"study_design_scores_gemma":[0.0001071963,0.00009490094,0.008990621,0.0001361048,0.0002580571,0.0002484848,0.0002408168,0.913656,0.000534277,0.07221694,0.003437253,0.00007937812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1174267,0.0007874187,0.8711354,0.0009952444,0.0002809036,0.0003398974,0.003178942,0.001384074,0.004471362],"genre_scores_gemma":[0.7874444,0.0006497741,0.2011908,0.0003047731,0.0001056288,0.0007038969,0.005326331,0.0004218052,0.003852522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02027982,"threshold_uncertainty_score":0.1072512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2966418884028973,"score_gpt":0.5151367272392993,"score_spread":0.218494838836402,"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."}}