{"id":"W2136952725","doi":"","title":"Spatial Relationships between Leaf Area Index and Topographic Factors in a Semiarid Grassland: Joint Multifractal Analysis","year":2011,"lang":"en","type":"article","venue":"Australian Journal of Crop Science","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Grassland; Leaf area index; Multifractal system; Elevation (ballistics); Environmental science; Grassland ecosystem; Spatial ecology; Common spatial pattern; Physical geography; Scale (ratio); Ecosystem; Spatial variability; Productivity; Ecology; Geography; Fractal; Mathematics; Cartography; Biology; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025866,0.0001226526,0.0002294772,0.0005966763,0.0001742442,0.00007168685,0.0003020208,0.00007816868,0.0002097372],"category_scores_gemma":[0.00007341318,0.00009490988,0.00009583026,0.001518378,0.000637448,0.0007472977,0.00007769908,0.0004385546,0.000004530177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009218007,"about_ca_system_score_gemma":0.00003177701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697776,"about_ca_topic_score_gemma":0.001775785,"domain_scores_codex":[0.9985261,0.00006497888,0.000452743,0.0002159177,0.0004666143,0.0002736352],"domain_scores_gemma":[0.9992497,0.00003780877,0.0003022291,0.0001453808,0.00002507805,0.000239804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007315003,0.00002423394,0.9956905,8.973854e-7,0.000021035,0.0000212524,0.001121858,0.001807906,0.0009045309,0.000008839215,0.000005932497,0.0003856469],"study_design_scores_gemma":[0.0001988617,0.00005955127,0.9943117,0.00001309857,0.00008434599,0.00002877009,0.0001667915,0.003716189,0.0007172137,0.0005655967,0.00001622143,0.0001216737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980541,0.000003711594,0.001375528,0.00007127381,0.00005717935,0.00005721037,0.000009498681,0.000004906175,0.0003665905],"genre_scores_gemma":[0.9992151,0.000008364655,0.0006895285,0.000004034086,0.00001091568,5.393796e-7,0.000002439745,0.000003905457,0.00006517171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001908283,"threshold_uncertainty_score":0.3870313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885700527089486,"score_gpt":0.2407544044066156,"score_spread":0.1918973991357207,"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."}}