{"id":"W4206868260","doi":"","title":"Variance and covariance of traits in plant species across abiotic gradients in the sub-Antarctic Kerguelen Is. And significance for adaptive potential","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Abiotic component; Covariance; Variance (accounting); Analysis of covariance; Biology; Environmental science; Ecology; Statistics; Mathematics; Economics","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":[0.0003998173,0.0002073358,0.0003051691,0.000638212,0.0003391377,0.0007445996,0.0003052654,0.0001985004,0.001384232],"category_scores_gemma":[0.001621077,0.0001251679,0.0003183545,0.0007851282,0.0005900428,0.000302022,0.0005194407,0.0002354804,0.0002123979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006132188,"about_ca_system_score_gemma":0.0002948747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283108,"about_ca_topic_score_gemma":0.03290531,"domain_scores_codex":[0.9997355,0.00006163521,0.00001495408,0.0001071192,0.0000309167,0.00004996096],"domain_scores_gemma":[0.999294,0.0003070214,0.000127069,0.000108239,0.00008277313,0.00008074797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003950741,0.0000157406,0.9668892,0.00003692168,0.0003355512,0.000110813,0.001339269,0.001025161,0.01829959,0.000475884,0.0001861546,0.01089059],"study_design_scores_gemma":[8.007651e-7,0.000003914361,0.9994705,0.000001186608,0.000006174608,0.00001564558,0.0001575977,0.0001404809,0.00007450887,0.00006102978,0.00006612045,0.000002026275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994245,0.00007784281,0.0001250198,0.00002043494,0.000001632915,5.936897e-7,0.0001169072,0.000002935855,0.0002300287],"genre_scores_gemma":[0.999564,0.0000295063,0.00004821007,0.000006525736,0.00000148016,0.00000143421,0.000140417,0.000004479072,0.0002040205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02283108,"threshold_uncertainty_score":0.04539639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811699249378775,"score_gpt":0.2326071982158238,"score_spread":0.2144902057220361,"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."}}