{"id":"W2325679437","doi":"10.4322/natcon.2011.025","title":"Influence of Landscape Features on Forest Maturity: the Case of a Fragmented Landscape in the erra do Mar Coastal Forest in Brazil","year":2011,"lang":"en","type":"article","venue":"Natureza & Conservação","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Universidade Federal do Rio de Janeiro","keywords":"Geography; Maturity (psychological); Agroforestry; Landscape ecology; Forest fragmentation; Ecology; Forestry; Environmental science; Biodiversity; Biology; Habitat","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":[0.0004178149,0.0001284835,0.0002379897,0.0006769593,0.0008477532,0.001281794,0.0005251672,0.0004280599,0.001857734],"category_scores_gemma":[0.002593137,0.0001460156,0.0003040684,0.0009704863,0.00104614,0.0005187624,0.0009059465,0.0003526256,0.00008454586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750777,"about_ca_system_score_gemma":0.000908904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1693514,"about_ca_topic_score_gemma":0.4472466,"domain_scores_codex":[0.9996963,0.00009351844,0.00001469854,0.00004568369,0.00003802663,0.0001119104],"domain_scores_gemma":[0.9987476,0.0004228194,0.0003081124,0.00005789906,0.0001654126,0.0002981735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006640312,0.00007444213,0.9878171,0.0000213587,0.00005356631,0.001434409,0.003034443,0.0007810979,0.00110394,0.001052471,0.00009415429,0.004466427],"study_design_scores_gemma":[0.000003155861,0.00002894919,0.991922,0.00001459598,0.00002368465,0.0002603088,0.006192288,0.0009719296,0.00004715541,0.0002066004,0.0003234588,0.000005915953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991156,0.00005449915,0.00003105164,0.00007156807,5.120654e-7,0.000002389767,0.00002905177,6.863304e-7,0.0006945936],"genre_scores_gemma":[0.9998826,0.00002460393,0.00002292873,0.000003264152,5.226371e-7,6.153244e-7,0.00001322326,5.398453e-7,0.00005181166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693514,"threshold_uncertainty_score":0.3367314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366836133809652,"score_gpt":0.2319953953635263,"score_spread":0.2183270340254297,"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."}}