{"id":"W4293178399","doi":"10.1111/dpr.12664","title":"Is indigenous knowledge serving climate adaptation? Evidence from various African regions","year":2022,"lang":"en","type":"article","venue":"Development Policy Review","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Government of the United Kingdom","keywords":"Vulnerability (computing); Climate change; Adaptation (eye); Environmental resource management; Psychological resilience; Mainstreaming; Indigenous; Environmental planning; Political science; Geography; Computer science; Environmental science; Ecology; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005376788,0.0002703337,0.0003945348,0.0000334418,0.001059038,0.00008461094,0.0006950395,0.00005101545,0.002485496],"category_scores_gemma":[0.0001670048,0.0001152103,0.0001251452,0.001617433,0.00002315045,0.0001810747,0.000635352,0.000240505,0.0003219881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651628,"about_ca_system_score_gemma":0.0001528133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920778,"about_ca_topic_score_gemma":0.002413258,"domain_scores_codex":[0.997772,0.0002496661,0.0005068738,0.000470105,0.0004105685,0.0005907938],"domain_scores_gemma":[0.9989536,0.0002802947,0.0002967528,0.0001429253,0.0001065184,0.0002198845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004739568,0.000912955,0.008094928,0.001827387,0.0002433938,0.0000756183,0.0989459,0.00001696508,0.0108999,0.0003384343,0.08918639,0.7894107],"study_design_scores_gemma":[0.0000815593,0.00009385728,0.09457836,0.001884699,0.00005079123,0.00004041298,0.00160409,0.00001105969,0.0001035854,0.0001123225,0.9009244,0.0005148043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189566,0.2193196,0.000005520056,0.05449185,0.0003267609,0.002431052,0.0008789393,0.000455973,0.003133723],"genre_scores_gemma":[0.7310343,0.2326739,0.001393013,0.02936287,0.0008713982,0.001241153,0.001612563,0.00001222427,0.001798614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8117381,"threshold_uncertainty_score":0.9984264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397819801598019,"score_gpt":0.3245619124378316,"score_spread":0.1847799322780297,"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."}}