{"id":"W2005964510","doi":"10.1111/j.1600-0587.2012.07463.x","title":"Process‐based long‐term evaluation of an ecological network of calcareous grasslands connected by sheep herding","year":2012,"lang":"en","type":"article","venue":"Ecography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Deutscher Akademischer Austauschdienst","keywords":"Species richness; Ecology; Habitat; Grassland; Habitat fragmentation; Biological dispersal; Vegetation (pathology); Geography; Biology; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009418493,0.0002309557,0.0002682472,0.001104875,0.0003980483,0.0006632689,0.0003904181,0.0003256708,0.000463335],"category_scores_gemma":[0.002314448,0.0001333305,0.000355267,0.0008126945,0.0002614273,0.0004866774,0.0006052007,0.0001819393,0.00007996103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586556,"about_ca_system_score_gemma":0.0003411724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00978559,"about_ca_topic_score_gemma":0.02140886,"domain_scores_codex":[0.9995666,0.0001105751,0.00003270887,0.0001210851,0.0001092672,0.00005973467],"domain_scores_gemma":[0.9983279,0.0004151885,0.0005869014,0.0001179677,0.0002797717,0.0002722165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003798374,0.000213606,0.9812219,0.00004149942,0.0001607437,0.0001905908,0.0003893893,0.004057563,0.00488427,0.000050869,0.00005672294,0.008353068],"study_design_scores_gemma":[0.000005232985,0.0004684503,0.9933252,0.000003286911,0.00003799937,0.00005178769,0.0001993316,0.005462947,0.0003082616,0.00003076291,0.0001012357,0.000005548851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996812,0.0000144179,0.0001424757,0.000002233092,6.165773e-7,0.000008038007,0.00006421204,0.000003449286,0.00008336334],"genre_scores_gemma":[0.9991534,0.00001750321,0.0003847627,0.00000224707,0.000001521733,0.00001419186,0.0003533934,8.648673e-7,0.00007214476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00978559,"threshold_uncertainty_score":0.01945728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567356985720229,"score_gpt":0.283357757170239,"score_spread":0.2676841873130367,"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."}}