{"id":"W3197891648","doi":"10.1111/jbi.14240","title":"Inverse responses of species richness and niche specialization to human development","year":2021,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Alberta Biodiversity Monitoring Institute; University of Alberta; University of Waterloo","funders":"","keywords":"Species richness; Niche; Ecology; Biodiversity; Biology; Ecological niche; Niche differentiation; Coexistence theory; Range (aeronautics); Body size and species richness; Competition (biology); Species diversity; Ordination; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258387,0.0001492455,0.0001042612,0.000563796,0.0002078401,0.0004057331,0.0001679792,0.00015236,0.002471958],"category_scores_gemma":[0.001585636,0.0001398746,0.0001908108,0.00042726,0.000497534,0.0001241967,0.0003207371,0.0002149765,0.0001081675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780531,"about_ca_system_score_gemma":0.0004217644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07679855,"about_ca_topic_score_gemma":0.1110229,"domain_scores_codex":[0.9997829,0.00006001188,0.000007373998,0.00005221705,0.00004248699,0.00005504957],"domain_scores_gemma":[0.9984666,0.0005286013,0.000375876,0.0001104776,0.000266526,0.0002519642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007575681,0.00001225671,0.9944552,0.00001118317,0.00006749185,0.00004136272,0.000105885,0.0002875855,0.00123676,0.00005397397,0.00009612903,0.003556418],"study_design_scores_gemma":[3.540226e-7,0.000004884559,0.9995936,0.000001356409,0.000003024573,0.00002914342,0.00008211742,0.0001572386,0.00004954069,0.00003859351,0.00003949781,7.894737e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989222,0.0001237391,0.0001760541,0.00004181445,0.000001550271,0.000001433036,0.0001674909,0.000006582726,0.0005591135],"genre_scores_gemma":[0.9997091,0.00002405421,0.00005630355,0.000005934967,0.00000112667,0.000001046193,0.00005000277,0.000001021204,0.0001515134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07679855,"threshold_uncertainty_score":0.1527031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578438320594571,"score_gpt":0.2468198709004456,"score_spread":0.2310354876944999,"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."}}