{"id":"W2149070009","doi":"10.1111/j.1600-0587.2000.tb00279.x","title":"Environmental heterogeneity and the spatial structure of fern species diversity in one hectare of old‐growth forest","year":2000,"lang":"en","type":"article","venue":"Ecography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fern; Quadrat; Spatial heterogeneity; Ecology; Biological dispersal; Spatial distribution; Hectare; Spatial variability; Spatial ecology; Species diversity; Common spatial pattern; Abundance (ecology); Soil fertility; Geography; Environmental science; Biology; Soil water; Population; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003574442,0.00009570085,0.0002042403,0.001506126,0.0003001722,0.0004641819,0.0002253175,0.0001838051,0.0005602252],"category_scores_gemma":[0.001277282,0.000140726,0.0001487619,0.0008458549,0.0005557262,0.0003649204,0.0004080491,0.0001253931,0.0001147652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918093,"about_ca_system_score_gemma":0.0001192254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005365629,"about_ca_topic_score_gemma":0.01584448,"domain_scores_codex":[0.9997624,0.00005814568,0.00001862873,0.00007433238,0.00003221188,0.00005438579],"domain_scores_gemma":[0.9987381,0.0004710744,0.0004592179,0.00008383486,0.00011594,0.0001318111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000565399,0.00001603324,0.9943923,0.00001110141,0.00004459309,0.00006722326,0.0002679743,0.0005633824,0.001928975,0.00007123082,0.00002837549,0.002552284],"study_design_scores_gemma":[0.00000139288,0.000009579407,0.9993174,0.000001571033,0.000004331936,0.00005039207,0.000121626,0.0003806448,0.00004677733,0.00003718993,0.00002733863,0.00000182223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997773,0.00003195808,0.00007311603,0.000003568204,2.632169e-7,5.814088e-7,0.00003304971,0.000001722283,0.00007853074],"genre_scores_gemma":[0.9998486,0.00001137656,0.00004783236,0.000001170647,8.311974e-7,9.141507e-7,0.00006595373,4.996165e-7,0.00002275844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005365629,"threshold_uncertainty_score":0.01066881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00605014710263361,"score_gpt":0.1698759673312624,"score_spread":0.1638258202286288,"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."}}