{"id":"W2142280873","doi":"10.1890/0012-9658(2002)083[1185:sdpdfs]2.0.co;2","title":"SPECIES DIVERSITY PATTERNS DERIVED FROM SPECIES–AREA MODELS","year":2002,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":375,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Canadian Forest Service; Université de Montréal; Simon Fraser University","funders":"","keywords":"Species richness; Ecology; Body size and species richness; Species diversity; Relative abundance distribution; Dominance (genetics); Gamma diversity; Species distribution; Global biodiversity; Macroecology; Spatial ecology; Community; Spatial distribution; Alpha diversity; Biodiversity; Biology; Abundance (ecology); Relative species abundance; Geography; Habitat","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":[0.001946895,0.0004731915,0.0006116151,0.001263101,0.0004867474,0.001049344,0.001917848,0.0009251213,0.002636431],"category_scores_gemma":[0.00970679,0.000370988,0.001164862,0.001097228,0.0007606923,0.002039509,0.0009580709,0.0007451359,0.0004836697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119652,"about_ca_system_score_gemma":0.0004510328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006011477,"about_ca_topic_score_gemma":0.004565747,"domain_scores_codex":[0.9990778,0.0004178499,0.0000493107,0.0001803501,0.000149098,0.0001256259],"domain_scores_gemma":[0.9956877,0.00254656,0.0006183688,0.00045588,0.0004449919,0.0002465353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006099672,0.00004183062,0.01257382,0.00005162654,0.00006895624,0.0001092529,0.0002782374,0.9503584,0.001509133,0.0284989,0.0005415559,0.005907432],"study_design_scores_gemma":[0.00001000101,0.00001954855,0.002215917,0.000008573348,0.000009025895,0.00005393189,0.00004776178,0.9791824,0.0001464784,0.01792088,0.0003735618,0.00001187015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6832721,0.0004012057,0.3032537,0.0004593297,0.00003632043,0.0001163134,0.000543514,0.0002414469,0.01167604],"genre_scores_gemma":[0.9816652,0.0001488575,0.0164515,0.000058487,0.00001441311,0.00009926968,0.0002355788,0.0000446018,0.001282061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006011477,"threshold_uncertainty_score":0.011953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03408928842845107,"score_gpt":0.1941151464879299,"score_spread":0.1600258580594788,"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."}}