{"id":"W3001007965","doi":"10.1086/706705","title":"<i>Gender and Employment in Rural China</i>, by Jing Song. London: Routledge, 2017. vi+149 pp. £105.00 (cloth).","year":2020,"lang":"en","type":"article","venue":"The China Journal","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"China; Download; Media studies; Permission; Sociology; Publishing; Library science; Political science; Law; Computer science","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":[0.0006341116,0.001017048,0.0004667691,0.001084236,0.001747726,0.002106749,0.0007705604,0.00143791,0.01641031],"category_scores_gemma":[0.001108277,0.0004727433,0.0003160531,0.003432813,0.002148916,0.003288414,0.001381609,0.001394584,0.002775808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791521,"about_ca_system_score_gemma":0.004704343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07619376,"about_ca_topic_score_gemma":0.1635417,"domain_scores_codex":[0.9997857,0.00006191786,0.00001388858,0.00003258057,0.00005387588,0.00005198624],"domain_scores_gemma":[0.9997998,0.00006808684,0.00002973836,0.000009804649,0.00003486814,0.00005766135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003998438,0.00001537487,0.002178268,0.001085775,0.00001628642,0.0002371583,0.006655959,0.00009866733,0.0002152628,0.01670224,0.8691616,0.1035934],"study_design_scores_gemma":[0.000008928474,0.00003060321,0.01873103,0.001748871,0.00001354723,0.0003111855,0.008301613,0.0001175794,0.00009611491,0.008275173,0.9623453,0.00002001162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00236656,0.9254164,0.0001226658,0.04580468,0.005002042,0.00001053023,0.0002278062,0.0000281989,0.02102119],"genre_scores_gemma":[0.07478281,0.7450495,0.0003551711,0.009961894,0.00778407,0.00008411887,0.0004214112,0.00007313659,0.1614878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.07619376,"threshold_uncertainty_score":0.1515005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195807856838093,"score_gpt":0.2807707307631666,"score_spread":0.2488126521947856,"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."}}