{"id":"W2101203599","doi":"10.1111/j.1461-0248.2007.01094.x","title":"Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework","year":2007,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1558,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Ecology; Relative abundance distribution; Context (archaeology); Abundance (ecology); Community; Relative species abundance; Biodiversity; Statistical physics; Data science; Computer science; Biology; Ecosystem; Physics; Paleontology","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":[0.003378502,0.001145705,0.002306422,0.004347353,0.0005208503,0.001904665,0.002701587,0.001923718,0.001471005],"category_scores_gemma":[0.005306439,0.0005008834,0.0006392212,0.004462379,0.003168584,0.006712073,0.001064351,0.002698174,0.001126009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441174,"about_ca_system_score_gemma":0.001688857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285892,"about_ca_topic_score_gemma":0.003950899,"domain_scores_codex":[0.9989242,0.0003676145,0.00007352311,0.0002005136,0.0003978498,0.0000363424],"domain_scores_gemma":[0.9970863,0.00203458,0.0001380841,0.0001474213,0.000522006,0.00007148314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002935917,0.00003548576,0.001109044,0.006504548,0.0002402879,0.0001745713,0.0003328056,0.00523836,0.0004433502,0.1492872,0.02063126,0.8159738],"study_design_scores_gemma":[0.00002124305,0.0001017082,0.003707354,0.003878691,0.0001477837,0.00105381,0.0005457154,0.004305443,0.0004840594,0.2807444,0.7048994,0.0001104217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004146372,0.9854901,0.007861595,0.002862339,0.0004363728,0.000008297386,0.00003081519,0.00002901784,0.002866745],"genre_scores_gemma":[0.006875124,0.9863906,0.004053974,0.0008452632,0.0007890751,0.00002678234,0.00003715265,0.0000107292,0.00097127],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004347353,"threshold_uncertainty_score":0.01786739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510968559276894,"score_gpt":0.3054744877516041,"score_spread":0.2543776318239147,"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."}}