{"id":"W4206057359","doi":"10.1007/s11111-021-00392-8","title":"Complex climate and network effects on internal migration in South Africa revealed by a network model","year":2022,"lang":"en","type":"article","venue":"Population and Environment","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Princeton University; High Meadows Foundation; Meadows Foundation","keywords":"Socioeconomic status; Geography; Climate change; Internal migration; Population; Ecology; Demography; Sociology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599069,0.0005502971,0.0003946413,0.0007310557,0.0005967763,0.001072905,0.0005709983,0.0007492975,0.003228128],"category_scores_gemma":[0.00331128,0.0002771877,0.0005845136,0.0006817563,0.0008876548,0.001082038,0.001018594,0.000703268,0.0001659688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008968167,"about_ca_system_score_gemma":0.0005673387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02833766,"about_ca_topic_score_gemma":0.01501628,"domain_scores_codex":[0.9997637,0.0001283722,0.000004703829,0.00004253174,0.00001247845,0.00004824872],"domain_scores_gemma":[0.9988539,0.0006515102,0.0002442425,0.0000532852,0.00007595082,0.0001210348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001466435,0.0001319286,0.05484521,0.00005235365,0.0001449099,0.0004953404,0.0008024644,0.8824875,0.001265171,0.05278452,0.00112302,0.005720981],"study_design_scores_gemma":[0.00001569226,0.00002904051,0.007596795,0.00001129577,0.00003429152,0.00003552567,0.0001628549,0.9823679,0.00004821617,0.009273751,0.0004141199,0.00001052497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658739,0.0002064393,0.02801534,0.0009199953,0.00002805973,0.00002845386,0.0002338281,0.00004727727,0.004646603],"genre_scores_gemma":[0.9972903,0.0001693982,0.00108357,0.00002360527,0.00001333294,0.00001988233,0.00005397933,0.000006934048,0.001339076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02833766,"threshold_uncertainty_score":0.0563454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06666263463400886,"score_gpt":0.2696693019488787,"score_spread":0.2030066673148698,"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."}}