{"id":"W2947408327","doi":"10.1080/17565529.2019.1613952","title":"Avenues of understanding: mapping the intersecting barriers to adaptation in Namibia","year":2019,"lang":"en","type":"article","venue":"Climate and Development","topic":"Tourism, Volunteerism, and Development","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Republic of South Africa; International Development Research Centre","keywords":"Adaptation (eye); Climate change adaptation; Economic geography; Geography; Political science; Climate change; Psychology; Geology; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0009170495,0.00007747554,0.0001263527,0.0001195924,0.0002769187,0.00004289886,0.0001019649,0.00004258985,0.000069457],"category_scores_gemma":[0.00008482264,0.00006457739,0.00001895725,0.0002157732,0.00005040093,0.00008866005,0.00007491293,0.00006769303,0.00002178607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612045,"about_ca_system_score_gemma":0.0002525259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003121484,"about_ca_topic_score_gemma":0.001597058,"domain_scores_codex":[0.9990628,0.0000583624,0.0002524443,0.00016019,0.0002067689,0.0002594579],"domain_scores_gemma":[0.9996478,0.00008375011,0.00007551141,0.00006758906,0.00002759981,0.00009774207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002857367,0.00001085682,0.0770388,0.00005014851,0.00001915856,0.000002796461,0.9143094,0.00006168997,0.0001309602,0.002426176,0.0002763948,0.005645087],"study_design_scores_gemma":[0.000298681,0.00002404869,0.07990061,0.0002374797,0.000002637751,7.159048e-7,0.8897488,0.00009387286,0.0001717723,0.0005235221,0.0288179,0.0001799331],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991793,0.0001270822,0.0009296861,0.0004454511,0.0003288586,0.0002948122,0.000001007349,0.00002010897,0.006059978],"genre_scores_gemma":[0.9981019,0.0001313074,0.001410186,0.0002009779,0.00001963436,0.00001225828,0.000001773441,0.000006199903,0.0001157922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0285415,"threshold_uncertainty_score":0.263339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946449423262052,"score_gpt":0.2840410461862544,"score_spread":0.2145765519536338,"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."}}