{"id":"W2290130648","doi":"10.1017/cbo9781139035057.004","title":"Overview","year":2013,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Economics; Per capita; Per capita income; China; Real gross domestic product; Gross domestic product; Agricultural economics; Development economics; Demographic economics; Geography; Economic growth; Macroeconomics; Population; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003270996,0.0003234189,0.0004532751,0.0001126721,0.0006702382,0.00009680448,0.0007813408,0.0005920645,0.0002519011],"category_scores_gemma":[0.0000307954,0.0003761479,0.0003184104,0.00001037036,0.0005840192,0.0002066026,0.0003075069,0.0004610158,0.0003431036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461094,"about_ca_system_score_gemma":0.0003205304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007843572,"about_ca_topic_score_gemma":0.0001037758,"domain_scores_codex":[0.9981971,0.0001521726,0.0002157836,0.0004593176,0.0005394706,0.0004361208],"domain_scores_gemma":[0.9985304,0.0001029323,0.0002586488,0.0005366098,0.0002803601,0.0002910809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001072763,0.000006450804,0.000002506842,0.0000569521,0.00005246611,0.00003715905,0.0003093909,5.351235e-8,0.000001489996,0.8292797,0.1686629,0.001580234],"study_design_scores_gemma":[0.0002346878,0.0000219202,0.00002677781,0.0001251945,0.0001068913,9.04544e-7,0.0001722685,0.000003257694,0.00001056921,0.0001601762,0.9986877,0.0004496393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005881657,0.0004759436,0.00004121888,0.00007427856,0.0006543934,0.0005038099,0.0001718522,0.0001926306,0.9978271],"genre_scores_gemma":[0.0005994809,0.001385785,0.0000425823,0.0003349739,0.0005250807,7.490048e-7,0.00002858608,0.00003471916,0.997048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8300248,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626332765512311,"score_gpt":0.2634188570563591,"score_spread":0.200785580505128,"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."}}