{"id":"W4409409753","doi":"10.5334/ijc.1421","title":"Unshaping Model Forests in the Global South: Trans-local Politics and Community Forestry Knowledge Circulation in Ecuador and Cameroon","year":2025,"lang":"en","type":"article","venue":"International Journal of the Commons","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad San Francisco de Quito; Institut de Recherche pour le Développement","keywords":"Circulation (fluid dynamics); Forestry; Politics; Community forestry; Geography; Political science; Forest management; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004408321,0.00005476809,0.0000654372,0.00005388405,0.0001631759,0.00004373908,0.0004496409,0.00002917815,0.000003698741],"category_scores_gemma":[0.00004203127,0.00003714158,0.0000353308,0.0001208859,0.0001518003,0.00007619736,0.0002671159,0.0002402813,4.267238e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305998,"about_ca_system_score_gemma":0.00001807309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009497677,"about_ca_topic_score_gemma":0.01025774,"domain_scores_codex":[0.9993436,0.0001824455,0.0001747621,0.00004948909,0.0001742364,0.0000754511],"domain_scores_gemma":[0.9997005,0.0001015857,0.00007138545,0.00008893315,0.00001781164,0.00001973003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001449955,0.00007146703,0.97623,0.000004565714,0.00001382681,0.000003020732,0.002634585,0.01815469,0.000006442566,0.0002458001,0.00004491865,0.002576235],"study_design_scores_gemma":[0.0004252402,0.000008802188,0.9515544,0.0000651775,0.00001425355,0.00001182542,0.001705737,0.03623623,0.000004741549,0.009803831,0.0001365496,0.0000332708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921957,0.00006508899,0.001336776,0.004529327,0.00008435789,0.00007681214,0.000008156547,0.000001656433,0.001702167],"genre_scores_gemma":[0.9995994,0.000008369353,0.00003852495,0.0003215895,0.000008824559,7.321271e-7,7.781975e-7,0.000001189879,0.00002061938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467561,"threshold_uncertainty_score":0.5724059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566747826569549,"score_gpt":0.2673637550355145,"score_spread":0.241696276769819,"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."}}