{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"4cb19b474810","filters":{"venue":"Populations"}},"results":[{"id":"W4413059470","doi":"10.3390/populations1030016","title":"Social, Cultural, and Civic Reintegration of Returning Rural Migrants in China: A Multidimensional Perspective","year":2025,"lang":"en","type":"article","venue":"Populations","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Perspective (graphical); China; Scope (computer science); Survey data collection; Dimension (graph theory); Hofstede's cultural dimensions theory; Multilevel model; Scale (ratio); Sociology; Economic geography; Demographic economics; Social psychology; Political science; Psychology; Geography; Economics","authors":[{"name":"Zhenxiang Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0336802854605329,"gpt":0.3797506692293336,"spread":0.3460703837688007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009548377,0.0002248323,0.0002253323,0.001241204,0.001384363,0.001276163,0.0002971973,0.0002836407,0.001352649],"category_scores_gemma":[0.001212722,0.00009779865,0.000254761,0.001312232,0.001239325,0.0009044989,0.001477579,0.0004474413,0.00006437532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491627,"about_ca_system_score_gemma":0.001555581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03316644,"about_ca_topic_score_gemma":0.0739385,"domain_scores_codex":[0.9995547,0.0001403093,0.00002459321,0.00004634908,0.0000578276,0.0001762337],"domain_scores_gemma":[0.9993532,0.00008682696,0.0002285974,0.00005401521,0.0000821088,0.0001952759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001912665,0.0000537651,0.9650835,0.0000342412,0.00003565779,0.0001996035,0.01908335,0.0003362217,0.0003330704,0.002036642,0.0002682907,0.01251662],"study_design_scores_gemma":[0.000001369086,0.00003007547,0.9697961,0.00003647693,0.00001098067,0.00003395591,0.02779864,0.0007677594,0.00005317743,0.0004407303,0.001021322,0.000009432499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991797,0.0000556791,0.00004695546,0.0001084137,0.000001595063,0.000004053416,0.00002082944,8.654049e-7,0.0005819554],"genre_scores_gemma":[0.9997701,0.00003701022,0.00003840228,0.00000927336,0.000001076138,0.000003451597,0.00002283139,2.957505e-7,0.0001174628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03316644,"threshold_uncertainty_score":0.06594676,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}