{"id":"W2903062634","doi":"10.5751/es-10546-230437","title":"Multiscale spatial planning to maintain forest connectivity in the Argentine Chaco in the face of deforestation","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia, Tecnología e Innovación Productiva; Ministério da Ciência, Tecnologia e Inovação; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Deforestation (computer science); Geography; Face (sociological concept); Spatial planning; Ecology; Amazon rainforest; Agroforestry; Environmental planning; Environmental science; Computer science; Biology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006586661,0.0001633092,0.0002371975,0.0006419793,0.000818523,0.00134951,0.0006299435,0.0004397096,0.003589386],"category_scores_gemma":[0.003053533,0.0001577783,0.0002216111,0.0004544643,0.0008531481,0.0008933255,0.001331637,0.0003916955,0.000302206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476481,"about_ca_system_score_gemma":0.0008961039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458329,"about_ca_topic_score_gemma":0.06563175,"domain_scores_codex":[0.9997438,0.00009123357,0.000009472836,0.00005513631,0.00002502939,0.00007546741],"domain_scores_gemma":[0.999217,0.0002067878,0.0001984703,0.00006913456,0.0001034417,0.0002052302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000502296,0.0005703069,0.4244514,0.0003827552,0.0004123541,0.0009646418,0.007834096,0.1642382,0.01247976,0.08805963,0.02614269,0.2739619],"study_design_scores_gemma":[0.0001056328,0.0004823408,0.6256502,0.0001771549,0.0001918272,0.0007503138,0.01588787,0.2440923,0.001097451,0.08984737,0.02162978,0.00008779401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653146,0.0008281348,0.01490262,0.002198103,0.0000270855,0.00004573921,0.0002486417,0.0000972891,0.01633783],"genre_scores_gemma":[0.9967505,0.00008833355,0.002708248,0.00002526824,0.000004992346,0.00001629604,0.00005539767,0.000009479125,0.000341478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02458329,"threshold_uncertainty_score":0.0488804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124728394334474,"score_gpt":0.2617854556006442,"score_spread":0.2493126161671968,"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."}}