{"id":"W4213220998","doi":"10.1002/ldr.4238","title":"Assessing local perceptions of deforestation, forest restoration, and the role of agroecology for agroecosystem restoration in northern Malawi","year":2022,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada","keywords":"Agroecology; Deforestation (computer science); Livelihood; Agroforestry; Ecosystem services; Restoration ecology; Agriculture; Business; Agroecosystem; Reforestation; Geography; Forest restoration; Natural resource economics; Environmental planning; Environmental science; Forest ecology; Ecosystem; Ecology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004938438,0.00005832093,0.000100918,0.00006522841,0.0003435262,0.00001973166,0.00005686055,0.00002063707,0.00003843568],"category_scores_gemma":[0.0000200584,0.00004520772,0.00001305382,0.0001229091,0.0001126955,0.000112068,0.0001012361,0.00003476459,0.000001067553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112273,"about_ca_system_score_gemma":0.00003256011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005784592,"about_ca_topic_score_gemma":0.02566784,"domain_scores_codex":[0.9992698,0.00009757402,0.0002627661,0.0001307604,0.0001648915,0.00007414688],"domain_scores_gemma":[0.999655,0.00007999614,0.000152168,0.00006628903,0.00002640454,0.00002013813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006318549,0.00003411096,0.983482,0.00001752511,0.000006160326,1.51637e-7,0.002587575,0.003901438,0.0000393763,0.0003207423,0.00003659167,0.009511111],"study_design_scores_gemma":[0.000910892,0.00003315785,0.9776673,0.000004815529,0.000009153664,0.000001800253,0.008833718,0.00609726,0.00002485184,0.0005225015,0.005838522,0.00005600866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888005,0.00004393294,0.01008081,0.0004268577,0.00003150186,0.000392581,0.000005009912,0.000005507337,0.0002132518],"genre_scores_gemma":[0.9984452,0.00001071069,0.001228863,0.00005822482,0.000004132747,0.00006887849,0.0001018527,0.000002857292,0.00007927886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02508938,"threshold_uncertainty_score":0.9921112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175953867942749,"score_gpt":0.2140122842046942,"score_spread":0.2022527455252667,"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."}}