{"id":"W4312625517","doi":"10.5751/es-13622-270432","title":"Everyday adaptation practices by coffee farmers in three mountain regions in Africa","year":2022,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Adaptation (eye); Climate change; Agriculture; Agroforestry; Microclimate; Adaptive capacity; Everyday life; Livelihood; Adaptive strategies; Citizen journalism; Environmental resource management; Government (linguistics); Socioeconomics; Environmental planning; Economic growth; Political science; Ecology; Sociology; Forestry; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868204,0.0003499472,0.0004518564,0.0008917447,0.003054883,0.00137275,0.000402972,0.0005187597,0.001675823],"category_scores_gemma":[0.002019929,0.0003566905,0.0002164609,0.0009163949,0.002008231,0.0008836312,0.00139188,0.0003920332,0.000144713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009840318,"about_ca_system_score_gemma":0.0006595278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0173018,"about_ca_topic_score_gemma":0.05005223,"domain_scores_codex":[0.9994041,0.000279825,0.00003347603,0.00007343955,0.00004656524,0.0001625693],"domain_scores_gemma":[0.9988585,0.0005132582,0.0002772276,0.00003805271,0.00007822682,0.0002348568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001232578,0.00007497586,0.08671163,0.0001736973,0.00001743044,0.0009774463,0.9002032,0.00005261414,0.003324397,0.0001007496,0.0001971201,0.008043368],"study_design_scores_gemma":[0.000008320851,0.0001643209,0.1270981,0.00005688341,0.00001170674,0.0002652513,0.8700246,0.0000778796,0.0002693744,0.00006828138,0.001934215,0.00002113143],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996924,0.00006004847,0.0000256294,0.00002611885,9.4415e-7,0.000008384629,0.00001200619,7.242074e-7,0.0001737855],"genre_scores_gemma":[0.9994679,0.0001471089,0.00009496998,0.00003257518,0.000001892582,0.00002025888,0.0000171443,0.000001052137,0.000217093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0173018,"threshold_uncertainty_score":0.03440219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682952629189331,"score_gpt":0.2232011228147555,"score_spread":0.1963715965228622,"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."}}