{"id":"W3197983543","doi":"10.5539/ass.v17n9p38","title":"Evaluation of the Types and Comprehensive Effects of Ecological Migration in China: Taking the Ecological Protection and Land Tenure Protection of Xihaigu Area in Ningxia as an Example","year":2021,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Poverty; Immigration; Promotion (chess); Ecology; Government (linguistics); Distribution (mathematics); Ecological psychology; Geography; Economic growth; Political science; Economics; Psychology; Biology; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335464,0.00005751801,0.000124214,0.00006506668,0.000405714,0.00003403264,0.00008347188,0.00009517138,0.00001151156],"category_scores_gemma":[0.001714678,0.00003960207,0.00001835228,0.0009608539,0.000743076,0.0002440009,0.00003911695,0.0001043928,9.960241e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576438,"about_ca_system_score_gemma":0.000280739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007550711,"about_ca_topic_score_gemma":0.1080638,"domain_scores_codex":[0.9980148,0.0009118762,0.0001870401,0.0001981803,0.0005658214,0.0001222864],"domain_scores_gemma":[0.9991855,0.000111105,0.0002778726,0.00006510266,0.0003410953,0.00001934296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008379088,0.0005699713,0.1699639,0.0001445121,0.00001454957,0.0000021734,0.3661352,0.0002353918,0.2233087,0.01155507,0.000004148454,0.2279827],"study_design_scores_gemma":[0.0002405812,0.0001045607,0.9745363,0.00003902727,0.00001550086,0.000001193352,0.01455184,0.001595197,0.003577646,0.005286699,0.000009342928,0.0000421396],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970871,0.00004875129,0.00003390017,0.0008658704,0.00007294733,0.0009648306,0.000001456538,0.000005849604,0.0009192688],"genre_scores_gemma":[0.9998297,0.00002151125,0.00003924751,0.00001190676,0.00003033011,0.00006049707,0.000001525636,0.000001981974,0.0000033054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8045724,"threshold_uncertainty_score":0.9990581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423690947045999,"score_gpt":0.3473951256857106,"score_spread":0.2050260309811106,"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."}}