{"id":"W2062025350","doi":"10.5539/ass.v6n12p176","title":"Rural-Urban Migration and Its Consequences on Rural Children: An Empirical Study","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural area; Agriculture; Socioeconomics; Sample (material); Agricultural productivity; Economic shortage; Food security; Geography; Demographic economics; Economic growth; Economics; Government (linguistics); Medicine","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":[0.0008803202,0.0002013734,0.0002281912,0.0007007229,0.0007574954,0.0007065705,0.0003935467,0.0004005758,0.004606823],"category_scores_gemma":[0.002677403,0.0001866825,0.000344858,0.001483863,0.0007226442,0.0005860284,0.0007544021,0.0006994711,0.0003391509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063271,"about_ca_system_score_gemma":0.0008448931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009333082,"about_ca_topic_score_gemma":0.01676912,"domain_scores_codex":[0.9993544,0.0002606687,0.00004466057,0.00006381025,0.00009757964,0.0001788101],"domain_scores_gemma":[0.9971059,0.0009591249,0.00118468,0.00008018276,0.0002191555,0.0004509504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004388756,0.000294839,0.9878575,0.00008636779,0.00002927833,0.0008213735,0.004621625,0.0000862885,0.00004865119,0.0003592875,0.0003349799,0.005415947],"study_design_scores_gemma":[0.000004833285,0.0002494605,0.9712231,0.00008336228,0.00003660705,0.0006207997,0.02599547,0.0001403875,0.00004753946,0.00007452656,0.001516577,0.000007280643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986344,0.0002719697,0.00002371485,0.0001079548,0.00000286758,0.00001118229,0.00008219265,5.581007e-7,0.0008651592],"genre_scores_gemma":[0.9989682,0.0005521644,0.00004966703,0.00002855314,0.000005698746,0.000009390626,0.00004774861,8.374669e-7,0.0003377324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009333082,"threshold_uncertainty_score":0.01855749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493595747988321,"score_gpt":0.2793966180696598,"score_spread":0.2644606605897766,"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."}}