{"id":"W2146033896","doi":"10.1111/j.1475-4762.2009.00928.x","title":"Environmental change and adaptation in degraded agro‐ecosystems: the case of highland Madagascar","year":2009,"lang":"en","type":"article","venue":"Area","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Adaptation (eye); Environmental change; Order (exchange); Agriculture; Food security; Environmental resource management; Environmental planning; Perspective (graphical); Climate change; Face (sociological concept); Geography; Business; Ecology; Economics; Sociology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001193452,0.00005525471,0.00005785319,0.00002284132,0.00007678561,0.000008299723,0.00006037838,0.0000209122,0.0001066627],"category_scores_gemma":[0.000003760015,0.00003969907,0.00001525531,0.000066311,0.00005759352,0.00006653067,0.00005561027,0.00002812244,0.00001266563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004422022,"about_ca_system_score_gemma":7.327993e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861564,"about_ca_topic_score_gemma":0.00283653,"domain_scores_codex":[0.99959,0.00003313978,0.00009650931,0.0001153143,0.00008316478,0.0000818769],"domain_scores_gemma":[0.9998074,0.00002246073,0.00004615439,0.00009960933,7.479998e-7,0.00002369105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001070632,0.00005730307,0.9731427,0.000005133638,0.000004799075,0.00008715809,0.005188347,0.0000464833,0.0005099778,0.00001143914,0.0001843031,0.02075162],"study_design_scores_gemma":[0.0002598667,0.00004219319,0.991313,0.000006230745,0.00001077804,0.00003105433,0.003361764,0.003184267,0.00005625892,0.00004768115,0.001633429,0.00005345431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981192,0.00011416,0.00000977694,0.0009264522,0.0000188793,0.0002148774,0.000007583244,0.000005443587,0.000583569],"genre_scores_gemma":[0.9996024,0.00005979577,0.00004001482,0.0001879192,0.000009244302,0.000003898919,0.000005280777,0.000001498065,0.00008991601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02069817,"threshold_uncertainty_score":0.4325848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553055642726205,"score_gpt":0.1874089935345307,"score_spread":0.1518784371072687,"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."}}