{"id":"W2003580170","doi":"10.1080/03610910008813655","title":"Hierarchical modeling with gaussian processes","year":2000,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gaussian process; Hierarchical database model; Gaussian; Gaussian network model; Computer science; Statistical physics; Process (computing); Population; Algorithm; Mathematics; Data mining; Physics","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":[0.00485436,0.0009778272,0.001609651,0.001362625,0.000764264,0.002494108,0.003574506,0.001987119,0.005484323],"category_scores_gemma":[0.01640436,0.0008611989,0.002126296,0.002392854,0.00165045,0.003507666,0.002377357,0.0026878,0.001253635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710434,"about_ca_system_score_gemma":0.001943604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635143,"about_ca_topic_score_gemma":0.01651527,"domain_scores_codex":[0.996759,0.001468997,0.000143975,0.0006058759,0.000653176,0.0003689332],"domain_scores_gemma":[0.9931657,0.004176383,0.0007970873,0.0008476062,0.0007650236,0.0002482969],"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":[0.00006091827,0.00005534903,0.001520278,0.00008612903,0.0001228377,0.0001360015,0.0003206144,0.4758185,0.0007033345,0.4987344,0.002502205,0.01993933],"study_design_scores_gemma":[0.00001738217,0.00001965653,0.0002582904,0.00001409258,0.00002618995,0.00003005722,0.00001948862,0.8631909,0.0001147137,0.1348969,0.001396137,0.00001618602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006204083,0.000187538,0.9908785,0.0002640257,0.00004062897,0.00004005015,0.0002110765,0.000169096,0.002005016],"genre_scores_gemma":[0.5330649,0.001492714,0.4493313,0.000699581,0.0003128489,0.000614533,0.001399378,0.0002495139,0.01283532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01635143,"threshold_uncertainty_score":0.03251249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2054272941769854,"score_gpt":0.477960928859824,"score_spread":0.2725336346828386,"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."}}