{"id":"W4206710223","doi":"10.1007/s10980-021-01392-7","title":"Present and historical landscape structure shapes current species richness in Central European grasslands","year":2022,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Deutsche Forschungsgemeinschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Species richness; Ecology; Landscape ecology; Biodiversity; Geography; Grassland; Context (archaeology); Habitat; Land use; Biological dispersal; Biology; Population","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":[0.0009285259,0.0002088319,0.0002423752,0.001264722,0.0001983267,0.0009911191,0.0002736619,0.0003330418,0.001451469],"category_scores_gemma":[0.001401012,0.0001906271,0.0004761465,0.000806306,0.0004389688,0.0005367824,0.0004482268,0.0001246871,0.0001361938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870903,"about_ca_system_score_gemma":0.0001381629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042253,"about_ca_topic_score_gemma":0.01670209,"domain_scores_codex":[0.9997024,0.0001034848,0.00002148971,0.0001034479,0.00002271927,0.00004644451],"domain_scores_gemma":[0.9990361,0.0004060318,0.0002643994,0.00008811661,0.00007946776,0.0001259324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006541207,0.00002598929,0.9933447,0.00001506819,0.0001947183,0.0000788917,0.0001623974,0.001835717,0.0008781832,0.0001224648,0.00008184365,0.003194679],"study_design_scores_gemma":[0.00000140943,0.000009350035,0.9985287,0.00000418435,0.00001262025,0.00002644412,0.00007738255,0.001225127,0.00002053739,0.00003326675,0.00005879498,0.000002168644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995642,0.0001090743,0.0001104856,0.000007905479,8.665227e-7,6.732466e-7,0.00005862588,0.000003567229,0.0001447099],"genre_scores_gemma":[0.9997957,0.00002736401,0.00005624504,0.000002814978,0.000001047304,6.409464e-7,0.00008215721,0.000001216557,0.00003272148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01042253,"threshold_uncertainty_score":0.0207237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009463059345455795,"score_gpt":0.2068670101909302,"score_spread":0.1974039508454744,"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."}}