{"id":"W4224046223","doi":"10.1017/9781009064781","title":"China's Grandmothers","year":2022,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Affection; Politics; Political science; History; Grandparent; Element (criminal law); Gender studies; Economic history; Sociology; Psychology; Law; Social psychology","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":[0.0003158455,0.0005676186,0.0002028328,0.0009162068,0.002962995,0.001005567,0.0005050368,0.0005257522,0.01944914],"category_scores_gemma":[0.0003743983,0.0002109249,0.0002282924,0.000906656,0.0008759141,0.000802457,0.001258211,0.001047378,0.003313706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409082,"about_ca_system_score_gemma":0.003212327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0411002,"about_ca_topic_score_gemma":0.1126527,"domain_scores_codex":[0.9998825,0.00001755473,0.000003902426,0.00002169428,0.00003762454,0.00003667258],"domain_scores_gemma":[0.9999175,0.00001007867,0.000003762067,0.000009115674,0.0000226537,0.00003681217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003306542,0.00004359975,0.004285275,0.0002783998,0.0000126734,0.001580744,0.03407145,0.0000960877,0.00163672,0.1455801,0.5707072,0.2416747],"study_design_scores_gemma":[0.000001667041,0.00001106199,0.00211701,0.00004461495,0.000003332256,0.0001917798,0.001192553,0.0000295525,0.0001244683,0.0008799011,0.9953999,0.000004157288],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1049212,0.05741506,0.001953139,0.03042792,0.009277526,0.0002461926,0.0008069596,0.0005246341,0.7944274],"genre_scores_gemma":[0.07669579,0.01593924,0.001293945,0.003150113,0.000361697,0.00007379853,0.0003621809,0.00006487232,0.9020584],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0411002,"threshold_uncertainty_score":0.08172196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182301298636968,"score_gpt":0.2162247476393835,"score_spread":0.2044017346530139,"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."}}