{"id":"W1545828227","doi":"","title":"Michael Szonyi — Practicing Kinship: Lineage and Descent in Late Imperial China","year":2004,"lang":"en","type":"article","venue":"Histoire sociale","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kinship; Descent (aeronautics); Lineage (genetic); Genealogy; History of China; China; History; Demography; Anthropology; Ancient history; Geography; Evolutionary biology; Sociology; Biology; Archaeology; Genetics; Gene","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":[0.0004582314,0.0001979183,0.0001579814,0.0005840532,0.005030359,0.001295874,0.0003912089,0.0006505108,0.001735258],"category_scores_gemma":[0.0007514023,0.0001218789,0.00007553715,0.001210273,0.004020245,0.001640601,0.001001453,0.001192402,0.0001776242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00301009,"about_ca_system_score_gemma":0.001991262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0570596,"about_ca_topic_score_gemma":0.1059793,"domain_scores_codex":[0.9998329,0.00005606927,0.000008350262,0.00002555007,0.00002140004,0.00005573473],"domain_scores_gemma":[0.9998117,0.00004135258,0.00003044185,0.00001095831,0.00003516108,0.00007043387],"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":[0.0001729401,0.0000395848,0.04616049,0.0002006178,0.00003410641,0.001519526,0.3529154,0.0003303448,0.002009706,0.4934601,0.03636143,0.06679573],"study_design_scores_gemma":[0.00003472521,0.00009903363,0.1233792,0.0002087976,0.00005540406,0.001121744,0.1734521,0.0008568052,0.002718445,0.1062028,0.5918033,0.00006769093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7843834,0.01248826,0.001476146,0.08382874,0.0009375781,0.00003759419,0.00006818337,0.00002961139,0.1167505],"genre_scores_gemma":[0.9512793,0.00267465,0.0002753216,0.00216377,0.000188444,0.00001120378,0.00002121817,0.00001028502,0.04337583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0570596,"threshold_uncertainty_score":0.113455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987252020848491,"score_gpt":0.2707065029650662,"score_spread":0.2508339827565813,"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."}}