{"id":"W2086012744","doi":"10.1037/a0029253","title":"Individual influence on model selection.","year":2012,"lang":"en","type":"article","venue":"Psychological Methods","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Akaike information criterion; Bayesian information criterion; Model selection; Selection (genetic algorithm); Ranking (information retrieval); Generality; Information Criteria; Computer science; Bayesian probability; Deviance information criterion; Multilevel model; Econometrics; Bayesian inference; Statistics; Data mining; Machine learning; Artificial intelligence; Psychology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002896081,0.0002149861,0.0003259388,0.00007510257,0.0001199291,0.00003749284,0.000289695,0.0002199579,0.0005567313],"category_scores_gemma":[0.00749286,0.0001503332,0.00008643939,0.000316752,0.0001261518,0.0001163444,0.00006309574,0.0004848693,0.00009950767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002759632,"about_ca_system_score_gemma":0.000007872993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001097553,"about_ca_topic_score_gemma":8.783699e-8,"domain_scores_codex":[0.9974191,0.001051985,0.0003570032,0.000343896,0.0002818331,0.0005462039],"domain_scores_gemma":[0.995298,0.003951997,0.0001083758,0.0003067869,0.00006341728,0.0002714824],"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":[0.00003337928,0.0004335849,0.001070831,0.00001067041,0.0000153427,7.598328e-7,0.0001167087,0.000008711759,0.001049743,0.7773663,0.001164341,0.2187297],"study_design_scores_gemma":[0.0001933764,0.0002277735,0.02706348,0.00001575184,0.00003330182,0.00001919165,0.00001186501,0.001383435,0.00108297,0.9692287,0.0005073441,0.0002327699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0388746,0.00002810436,0.9396348,0.0001358729,0.0002346913,0.000164117,0.00001238353,0.0001717449,0.02074369],"genre_scores_gemma":[0.1395617,0.000005258699,0.8589538,0.001163382,0.000144042,0.00005823425,7.146034e-7,0.00001687395,0.00009600716],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2184969,"threshold_uncertainty_score":0.8970194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3007814790311631,"score_gpt":0.5548223446057223,"score_spread":0.2540408655745592,"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."}}