{"id":"W4309306996","doi":"10.1016/j.biocon.2022.109815","title":"Past and present effects of habitat amount and fragmentation per se on plant species richness, composition and traits in a deforestation hotspot","year":2022,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Ministerio de Ciencia, Tecnología e Innovación Productiva","keywords":"Species richness; Habitat fragmentation; Fragmentation (computing); Habitat; Forest fragmentation; Hotspot (geology); Deforestation (computer science); Ecology; Biology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001533477,0.00006708982,0.00009695296,0.00003683232,0.0001588429,0.000007337899,0.00002199997,0.00003462049,0.00002335287],"category_scores_gemma":[0.0000283182,0.00005527703,0.000007616965,0.0000728642,0.0001862872,0.00007263787,0.0000707182,0.00006438179,8.175458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005063172,"about_ca_system_score_gemma":0.000001920929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000524363,"about_ca_topic_score_gemma":0.0002413323,"domain_scores_codex":[0.999396,0.0001452523,0.0001341419,0.000167803,0.00008333764,0.00007352353],"domain_scores_gemma":[0.9995583,0.0003174304,0.00007554968,0.0000253306,0.000005938704,0.00001744393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001184639,0.00008339748,0.9806584,0.00002262075,0.000004638165,0.000002269936,0.0008674832,0.0004431324,0.01583063,0.001478133,0.00004021457,0.0004506198],"study_design_scores_gemma":[0.000456748,0.0003991521,0.9934239,0.000007388343,0.000005842785,0.000004172784,0.0002819687,0.003926501,0.0001705407,0.001221585,0.00004061202,0.00006158127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985659,0.00007893443,0.0001322236,0.0007876472,0.00002653928,0.000312858,0.00001676,0.000008327465,0.00007077706],"genre_scores_gemma":[0.9992597,0.00008523279,0.0002052276,0.000282676,0.000004954226,0.00007933329,0.00006892056,0.000001910798,0.00001204687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01566009,"threshold_uncertainty_score":0.2254132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823267879601456,"score_gpt":0.2266168829287214,"score_spread":0.2083842041327069,"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."}}