{"id":"W3022578821","doi":"10.1016/j.actao.2020.103577","title":"The influence of matrix type in the relationship between patch size and amphibia richness: A global Meta-Analysis","year":2020,"lang":"en","type":"article","venue":"Acta Oecologica","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Carleton University","keywords":"Species richness; Ecology; Meta-analysis; Habitat; Context (archaeology); Habitat fragmentation; Landscape ecology; Fragmentation (computing); Affect (linguistics); Biology; Geography; Psychology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004639238,0.0000908259,0.0002820764,0.000007412899,0.0001366107,0.00001732899,0.0003819657,0.00009559754,0.0003792341],"category_scores_gemma":[0.001031683,0.00004077668,0.0001269422,0.0008330064,0.0003549893,0.00005352894,0.000187358,0.000114713,0.00005456106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002521043,"about_ca_system_score_gemma":0.000008414205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254557,"about_ca_topic_score_gemma":0.0004828705,"domain_scores_codex":[0.998943,0.0003011062,0.0002364196,0.0002222244,0.0001395176,0.0001576783],"domain_scores_gemma":[0.9976717,0.001939924,0.000132645,0.0002052006,0.00000692002,0.00004358447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000109644,0.00001079828,0.998643,0.000001313544,0.000463534,0.000001911648,0.0001930239,0.0001614367,0.0001056632,0.0001549935,0.0002172205,0.00003609732],"study_design_scores_gemma":[0.00005849065,0.00009060016,0.9950942,1.713992e-7,0.002351007,9.148673e-7,0.0001509621,0.0000160657,0.000002727852,0.0008673956,0.001313344,0.00005414432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906577,0.0001322487,0.000003791204,0.008276433,0.000006835136,0.000169844,0.00001150644,0.000009747015,0.0007319229],"genre_scores_gemma":[0.9990521,0.00002775176,0.0001273679,0.0007152866,0.000009660719,0.00001120986,0.00000225855,0.000001803684,0.00005257115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008394417,"threshold_uncertainty_score":0.4152348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05975055766475687,"score_gpt":0.2993941337845555,"score_spread":0.2396435761197986,"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."}}