{"id":"W2375902835","doi":"","title":"Characteristic analysis of farmer household'social capital in Zhangye City","year":2013,"lang":"en","type":"article","venue":"Ganhanqu dili","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Social capital; Index (typography); Household income; Social mobility; Socioeconomics; Financial capital; Demographic economics; Economic growth; Business; Geography; Economics; Human capital; Sociology; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003653062,0.0001200644,0.000388575,0.0002145028,0.0002316872,0.00005286905,0.0002383185,0.0001800496,0.001898829],"category_scores_gemma":[0.0001172512,0.000120633,0.0002167167,0.001486822,0.0003437191,0.0002145165,0.000050184,0.0001495876,0.000060567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009547684,"about_ca_system_score_gemma":0.00006004665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01799259,"about_ca_topic_score_gemma":0.009964829,"domain_scores_codex":[0.9985194,0.0001658395,0.0002997071,0.0002277161,0.0003707214,0.0004165702],"domain_scores_gemma":[0.9994226,0.0001229254,0.0001377912,0.0001180355,0.00009324913,0.000105458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005207164,0.0009463534,0.5344048,0.00003648363,0.0008924318,0.00001801552,0.4172218,0.00002405527,0.002252507,0.01262547,0.003923078,0.02760295],"study_design_scores_gemma":[0.0001709039,0.00002692786,0.9844623,0.000006291999,0.0001652601,6.383574e-8,0.01283177,0.0000483076,0.00004971287,0.001312907,0.0007285289,0.0001970127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919489,0.0001119958,0.00001854659,0.0003958245,0.0002685435,0.0002202574,0.0000304967,0.00004954023,0.006955916],"genre_scores_gemma":[0.9985598,0.00006162954,0.00001125492,0.0001241348,0.0003707903,0.00003735339,0.00002327089,0.00001033319,0.0008013899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500576,"threshold_uncertainty_score":0.9990135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331173473701895,"score_gpt":0.2847961953074971,"score_spread":0.2516788479373075,"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."}}