{"id":"W1970869199","doi":"10.1890/11-2028.1","title":"Variation partitioning involving orthogonal spatial eigenfunction submodels","year":2011,"lang":"en","type":"article","venue":"Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Rural Development Administration","keywords":"Eigenfunction; Univariate; Mathematics; Eigenvalues and eigenvectors; Hierarchy; Spatial variability; Intersection (aeronautics); Multivariate statistics; Interpretation (philosophy); Spatial analysis; Applied mathematics; Statistics; Statistical physics; Computer science; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001722969,0.00005724866,0.0000710466,0.00001754942,0.0001359845,0.000008875033,0.00006747852,0.00006699454,0.01533741],"category_scores_gemma":[0.000007961907,0.00005088764,0.00002147913,0.00005835365,0.000008772598,0.0002356191,0.00005629965,0.00004587651,0.001645955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005844383,"about_ca_system_score_gemma":0.000006449774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617797,"about_ca_topic_score_gemma":0.02030525,"domain_scores_codex":[0.9994236,0.00004535168,0.0001313056,0.0001613229,0.00007000751,0.0001684205],"domain_scores_gemma":[0.9997898,0.00001678926,0.00006303332,0.000085438,0.000005016208,0.00003987395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001856657,0.00004758199,0.9961137,0.000004773116,0.000009275122,0.00000430796,0.0009058657,0.001052091,0.0005461201,0.0004267281,0.00008897822,0.000782035],"study_design_scores_gemma":[0.0001294057,0.00006238409,0.9807041,0.00000215827,0.000009766794,0.000004899185,0.00002196955,0.01532599,0.0002124239,0.003148689,0.0003064731,0.00007176965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858379,0.000005474342,0.002688596,0.00003240913,0.0004543519,0.00007221063,0.000001214698,0.00003689638,0.01087097],"genre_scores_gemma":[0.9993358,0.000004919816,0.0003216599,0.0001661188,0.00009173936,0.00002158484,0.0000111913,0.000005396054,0.00004156729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01868745,"threshold_uncertainty_score":0.9991314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081309412444379,"score_gpt":0.1928543324295384,"score_spread":0.1720412383050946,"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."}}