{"id":"W2021179080","doi":"10.1890/08-0549.1","title":"Bayesian methods for hierarchical models: Are ecologists making a Faustian bargain","year":2009,"lang":"en","type":"letter","venue":"Ecological Applications","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Wildlife; Library science; Fish <Actinopterygii>; Computer science; Operations research; Geography; History; Ecology; Artificial intelligence; Mathematics; Fishery; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02531412,0.0009064526,0.002104766,0.001498152,0.002362089,0.00599496,0.002948822,0.02073185,0.006321711],"category_scores_gemma":[0.1329606,0.0008848183,0.0007930226,0.001397569,0.02111991,0.01870768,0.002536758,0.04384737,0.004754205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004128263,"about_ca_system_score_gemma":0.002185628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004564211,"about_ca_topic_score_gemma":0.005723179,"domain_scores_codex":[0.9858388,0.01003094,0.0004227577,0.0009357695,0.002541154,0.0002306445],"domain_scores_gemma":[0.8305846,0.1540224,0.002091023,0.005832461,0.005975912,0.001493452],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005411667,0.00003109966,0.0002743467,0.0001213278,0.00004681157,0.0001150895,0.0002764688,0.0007857142,0.00007397535,0.468952,0.486472,0.0427971],"study_design_scores_gemma":[0.00002663762,0.000003689275,0.0001028646,0.00007393279,0.000004689512,0.00007123981,0.00005801153,0.001612293,0.00003209227,0.9331856,0.06480869,0.0000203029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002414823,0.00709827,0.02052226,0.9630727,0.004663506,0.000006165895,0.00006007393,0.00005646169,0.004279043],"genre_scores_gemma":[0.03808194,0.01847349,0.05176995,0.7649056,0.1119974,0.0002070202,0.0001215017,0.000514798,0.01392841],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9746859,"threshold_uncertainty_score":0.1338755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516837510228455,"score_gpt":0.4549854807775809,"score_spread":0.3033017297547355,"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."}}