{"id":"W3203291691","doi":"","title":"Measuring impacts of transformative landscape approaches to agroecology: lessons from Laos. [ID278]","year":2019,"lang":"en","type":"article","venue":"Agritrop (Cirad)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Agroecology; Environmental planning; Environmental resource management; Livelihood; Transformative learning; Geography; Sustainable land management; Citizen journalism; Agriculture; Participatory action research; Participatory planning; Sustainable agriculture; Agroforestry; Land management; Business; Political science; Sociology; Environmental 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002302744,0.0002107164,0.0003712209,0.00002857536,0.000126024,0.0000451308,0.0004179384,0.0001634703,0.001001514],"category_scores_gemma":[0.00002738648,0.0000696168,0.0001374221,0.0004617237,0.00003738879,0.0002125914,0.0001067896,0.0002327312,0.000601352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003718939,"about_ca_system_score_gemma":0.00002062627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008880685,"about_ca_topic_score_gemma":0.001771841,"domain_scores_codex":[0.9983611,0.00009813897,0.0003015486,0.0003514515,0.0003976985,0.0004900462],"domain_scores_gemma":[0.9993451,0.0002096296,0.00008560687,0.00007910623,0.00007386125,0.0002066635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003327668,0.0005203949,0.158284,0.00007572625,0.0002769424,0.00001262521,0.0032069,0.00002934576,0.7519013,0.00215156,0.01083077,0.07237767],"study_design_scores_gemma":[0.0002994836,0.0005937059,0.9530401,0.00006421525,0.0000175632,0.000004263129,0.001937929,0.00002123302,0.03502448,0.0005099914,0.008183244,0.0003037686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790133,0.0002133648,0.000006129831,0.01327897,0.0001036141,0.0004956569,0.00009338123,0.00005132554,0.006744322],"genre_scores_gemma":[0.9986955,0.0001054072,0.0001737716,0.0001624167,0.0001534822,0.00002457792,0.0001841363,0.000001614101,0.0004990985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7947561,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006574154513089,"score_gpt":0.2341548000629201,"score_spread":0.1334973846116111,"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."}}