{"id":"W7036351951","doi":"","title":"China's Hukou reform and internal migration","year":2022,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Internal migration; Work (physics); Margin (machine learning); Government (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003003511,0.0001632915,0.0002820564,0.0009272007,0.002695867,0.002482143,0.0003175215,0.0006997386,0.007576334],"category_scores_gemma":[0.0005545396,0.0001149228,0.0002093391,0.002601308,0.001579619,0.000824778,0.001578178,0.0008895425,0.0003009473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008070405,"about_ca_system_score_gemma":0.01145208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2801116,"about_ca_topic_score_gemma":0.4973285,"domain_scores_codex":[0.9995964,0.00004133635,0.00001762643,0.00002733463,0.00004720718,0.000270082],"domain_scores_gemma":[0.9997101,0.00002923241,0.00007494911,0.00001829524,0.00004177176,0.0001255005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005109122,0.0001689909,0.4496357,0.0005095089,0.0001998635,0.002692828,0.02557971,0.001991822,0.001669493,0.3786401,0.04078041,0.09762078],"study_design_scores_gemma":[0.00004439357,0.00006653608,0.8331532,0.0001280252,0.00005328996,0.0001555546,0.01136183,0.0008503892,0.0004162636,0.006182151,0.1475433,0.00004505819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793265,0.002552205,0.0001284454,0.009963132,0.0001700454,0.00002970653,0.0007448277,0.00002319925,0.1070619],"genre_scores_gemma":[0.9793983,0.000897619,0.00007151871,0.0005046182,0.00004244778,0.00001392788,0.0001634333,0.00000829897,0.01889975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2801116,"threshold_uncertainty_score":0.5569624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222727542794411,"score_gpt":0.2529075534678569,"score_spread":0.2306802780399128,"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."}}