{"id":"W4377862262","doi":"10.1002/wat2.1647","title":"Global patterns of water‐driven human migration","year":2023,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"European Commission; World Bank Group","keywords":"Livelihood; Population; Water use; Environmental science; Geography; Environmental resource management; Ecology; Agriculture; Biology; Environmental health","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001143439,0.0002014156,0.0003877484,0.0001379909,0.0005572254,0.00007393961,0.0003537014,0.0001177596,0.0009612981],"category_scores_gemma":[0.00002627424,0.0001294947,0.00022837,0.0002806002,0.0001338702,0.0004432742,0.0003749837,0.00007807757,0.001285551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268854,"about_ca_system_score_gemma":0.00001829403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008172595,"about_ca_topic_score_gemma":0.03076905,"domain_scores_codex":[0.9976894,0.0003973622,0.0007189066,0.0003463864,0.0003674575,0.0004804632],"domain_scores_gemma":[0.9992628,0.00002406673,0.0001493942,0.0003286552,0.0001340168,0.0001010428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008809279,0.0004045991,0.1627016,0.001254963,0.0001295434,0.00004393141,0.6464186,0.0002601802,0.07301854,0.002707618,0.08726615,0.02570624],"study_design_scores_gemma":[0.001797345,0.001075704,0.07154614,0.004683789,0.000416222,0.00001951907,0.06561006,0.001165763,0.02209918,0.02994567,0.7993515,0.002289081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907055,0.0002146936,0.0001836865,0.004266759,0.0005848322,0.0008559187,0.00006650257,0.0001726942,0.00294941],"genre_scores_gemma":[0.9931803,0.002086351,0.00006104192,0.00007719517,0.0004311996,0.0001517448,0.001169622,0.00002144538,0.002821132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7120854,"threshold_uncertainty_score":0.999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269119577296014,"score_gpt":0.3881101712380698,"score_spread":0.2611982135084684,"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."}}