{"id":"W2341307244","doi":"10.5751/es-00582-080101","title":"Synergy Between Traditional Ecological Knowledge and Conservation Science Supports Forest Preservation in Ecuador","year":2003,"lang":"en","type":"article","venue":"Conservation Ecology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecology; Geography; Atlantic forest; Agroforestry; Environmental resource management; Environmental science; Biology","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":[0.008137995,0.0001855731,0.0004004978,0.002610183,0.00222036,0.004686847,0.0009169749,0.001086263,0.007320779],"category_scores_gemma":[0.01939627,0.0002009063,0.000205195,0.001677916,0.004210023,0.004478446,0.007902692,0.001152689,0.0003508155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273961,"about_ca_system_score_gemma":0.004487854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004385365,"about_ca_topic_score_gemma":0.01104903,"domain_scores_codex":[0.9959012,0.002488294,0.0001743545,0.0001864026,0.0006532334,0.000596563],"domain_scores_gemma":[0.9779,0.01391359,0.003252845,0.001051497,0.00196814,0.001913856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006371377,0.00142044,0.1469291,0.001340889,0.0004571346,0.002521432,0.04478748,0.00160723,0.00490756,0.0510508,0.02156918,0.7227715],"study_design_scores_gemma":[0.0005838376,0.001041364,0.6150894,0.003582085,0.0007974922,0.001395688,0.08983688,0.002851468,0.004591288,0.1233708,0.1566969,0.0001627669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8000196,0.01243011,0.00178346,0.07817923,0.0001320517,0.0000513262,0.00008738261,0.00006832053,0.1072485],"genre_scores_gemma":[0.9957843,0.001880225,0.0007813856,0.0006967623,0.00005553738,0.00001158881,0.00002112802,0.000003499171,0.0007654831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008137995,"threshold_uncertainty_score":0.04303837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036810141141273,"score_gpt":0.2280393610689612,"score_spread":0.1976712596575485,"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."}}