{"id":"W6944987950","doi":"10.20381/ruor-30537","title":"An Investigation of the Use of Linear Mixed Models Under an Extreme Phenotype Sampling (EPS) Design","year":2024,"lang":"en","type":"article","venue":"University of Ottawa - Library","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mixed model; Generalized linear mixed model; Covariate; Population stratification; Population; Linear model; Context (archaeology); Missing data; Type I and type II errors; Extreme value theory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006471928,0.0000623459,0.00008295735,0.00003245688,0.00006624716,0.00001251998,0.0002452799,0.00005171159,0.004976658],"category_scores_gemma":[0.00000339653,0.00005687687,0.00004790319,0.0002586732,0.0002713358,0.001524831,0.0001109407,0.0000540611,0.0000128891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004349519,"about_ca_system_score_gemma":0.00002998804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002776708,"about_ca_topic_score_gemma":0.00005991957,"domain_scores_codex":[0.9994376,0.0000847644,0.00009816997,0.0001432052,0.0001548367,0.00008145365],"domain_scores_gemma":[0.999617,0.00004498568,0.00006541647,0.0002071289,0.000007138077,0.00005828741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002584739,0.000650148,0.1218505,0.0002995927,0.0001394733,0.00001338307,0.01541134,0.2948605,0.3394699,0.1899159,0.03328994,0.003840883],"study_design_scores_gemma":[0.0008216234,0.000410646,0.5018986,0.0002171173,0.0001608649,0.000003201507,0.01439815,0.3758451,0.0783944,0.01532822,0.0119706,0.0005514097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836306,0.00002590349,0.01459472,0.0002672828,0.00005550629,0.0001026209,0.0001221768,0.00004496549,0.001156242],"genre_scores_gemma":[0.9918947,0.00002227358,0.007690448,0.00006499774,0.000006977555,6.19839e-8,0.00006306134,0.000007548344,0.0002498842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3800481,"threshold_uncertainty_score":0.9959329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1730925690165943,"score_gpt":0.2287521775733838,"score_spread":0.05565960855678959,"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."}}