{"id":"W1803792128","doi":"10.3968/j.css.1923669720070301.007","title":"Does Population Matter in Accessing Inequality in China","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; China; Population; Humanities; Divergence (linguistics); Welfare economics; Political science; Demographic economics; Sociology; Economics; Demography; Art; Mathematics; Philosophy; Law","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":[0.001299621,0.000174425,0.0003251446,0.001352615,0.0008417616,0.001105961,0.0005832523,0.0003401124,0.003345974],"category_scores_gemma":[0.004522057,0.0001304071,0.000572327,0.001596241,0.001108871,0.001139452,0.00153149,0.0004965684,0.0001515382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699407,"about_ca_system_score_gemma":0.001336758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04131164,"about_ca_topic_score_gemma":0.045525,"domain_scores_codex":[0.999206,0.0002172538,0.00004195489,0.000118758,0.000164487,0.0002515417],"domain_scores_gemma":[0.9985733,0.0004126917,0.0003836121,0.0001467789,0.0002317682,0.000251761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077415,0.00009079166,0.951017,0.000058988,0.0001352294,0.0004368423,0.004043398,0.003468718,0.0005615852,0.01707361,0.0007047656,0.02230129],"study_design_scores_gemma":[0.00001038246,0.00007652068,0.9850944,0.00003710692,0.00004652439,0.00008246248,0.001892385,0.006530796,0.0001866484,0.004282749,0.00174425,0.00001574915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930911,0.0002430829,0.000456915,0.0007117876,0.00001235996,0.00001048054,0.0001095093,0.000007343492,0.005357415],"genre_scores_gemma":[0.9993044,0.00009336078,0.00007528045,0.00003977267,0.00000678925,0.000005460474,0.00004536977,0.000001760767,0.0004278071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04131164,"threshold_uncertainty_score":0.08214235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512151577915116,"score_gpt":0.3395554061400252,"score_spread":0.314433890360874,"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."}}