{"id":"W4412338649","doi":"","title":"Multivariate Generalized Linear Mixed Models with High Complexity / Modèles linéaires généralisés mixtes multivariés avec complexité élevée","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Scientific Research Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Multivariate statistics; Combinatorics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001250773,0.0004471362,0.0005962912,0.00004700506,0.0006079375,0.0001499011,0.0009307067,0.000186247,0.001490647],"category_scores_gemma":[0.0004496859,0.0001249003,0.0001856776,0.0006150868,0.0009557487,0.0007447744,0.0004051752,0.0002363288,0.00009315131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007946399,"about_ca_system_score_gemma":0.00003669622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003466861,"about_ca_topic_score_gemma":0.00317851,"domain_scores_codex":[0.9953631,0.001003356,0.0005406784,0.001112289,0.000967243,0.001013305],"domain_scores_gemma":[0.9966096,0.001869011,0.0002129937,0.0003346175,0.000495884,0.0004778975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004845831,0.0003291476,0.0008957293,0.00001380062,0.00007282617,0.00001965018,0.000104715,0.001370204,0.9067706,0.04674524,0.0005964651,0.04259701],"study_design_scores_gemma":[0.005557815,0.001298598,0.1421644,0.0002945052,0.00005534162,0.00004366225,0.0005003251,0.2015448,0.3689,0.2676416,0.009602746,0.002396198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8477651,0.00005219544,0.1454193,0.004267622,0.0002387018,0.000751499,0.0004144054,0.0004517093,0.0006394628],"genre_scores_gemma":[0.6713782,0.00003490496,0.3246169,0.0001461547,0.0002101864,0.00005904473,0.00008848174,0.00000550256,0.003460664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5378706,"threshold_uncertainty_score":0.9994221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1560375218520922,"score_gpt":0.3308768288090019,"score_spread":0.1748393069569097,"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."}}