{"id":"W4379740676","doi":"10.1007/s13280-023-01884-7","title":"Locally led adaptation: Promise, pitfalls, and possibilities","year":2023,"lang":"en","type":"article","venue":"AMBIO","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Economic and Social Research Council; Griffith University; UK Research and Innovation","keywords":"Framing (construction); Adaptation (eye); Local adaptation; Sociology; Political science; Geography; Psychology; Population","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":[0.0001910847,0.00007091797,0.00008606674,0.000006692067,0.0001415845,0.00005589302,0.00007636907,0.00004172212,0.0001161108],"category_scores_gemma":[0.0000555261,0.00002549792,0.00002565115,0.0002501657,0.00006373138,0.0001017165,0.00005565748,0.00003914565,0.0000619621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416923,"about_ca_system_score_gemma":0.00001139494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271064,"about_ca_topic_score_gemma":0.0004446344,"domain_scores_codex":[0.9993958,0.00003031661,0.0001126714,0.0001815189,0.0001042039,0.0001755267],"domain_scores_gemma":[0.9997697,0.00007773269,0.0000197596,0.00002909808,0.00005083394,0.00005288697],"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":[0.000169428,0.0001495037,0.2728745,0.0001176824,0.00004800405,0.00005429719,0.004866954,0.000008281898,0.04515463,0.009339884,0.03270928,0.6345075],"study_design_scores_gemma":[0.00009793568,0.00009491039,0.9758058,0.000006396668,0.000002277416,0.00000140991,0.002924103,0.0001264953,0.0003598777,0.009298457,0.01116058,0.0001217642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944127,0.00005709819,6.32437e-7,0.004032305,0.00005426235,0.0001641398,0.000004147016,0.0001372364,0.001137531],"genre_scores_gemma":[0.9900857,0.00003681556,0.00004128772,0.0001176259,0.00005164141,0.00001492271,0.00004030143,3.795574e-7,0.009611377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7029313,"threshold_uncertainty_score":0.1271332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857981526474121,"score_gpt":0.2122606395984506,"score_spread":0.1936808243337094,"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."}}