{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001892381,0.0001476894,0.0001638784,0.001316819,0.0007070444,0.0005425288,0.0002128015,0.000156634,0.001920835],"category_scores_gemma":[0.0008368444,0.00007494736,0.0001654704,0.00207432,0.0003169221,0.0003440818,0.0006950939,0.0001570738,0.0001259794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008884988,"about_ca_system_score_gemma":0.0005688556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02687829,"about_ca_topic_score_gemma":0.03482911,"domain_scores_codex":[0.9997568,0.00004002339,0.00001568526,0.00003688493,0.00006335626,0.00008714586],"domain_scores_gemma":[0.9994573,0.0000872885,0.0001592867,0.00002812583,0.0001388022,0.0001292211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003079709,0.00002795807,0.9864868,0.00002921251,0.00003100029,0.0003160113,0.003668946,0.0003939949,0.0005637779,0.0003579012,0.0007999062,0.007293645],"study_design_scores_gemma":[0.000001392412,0.00001788305,0.9922241,0.000006130776,0.000008153326,0.00006709946,0.005948253,0.0006311574,0.00009340818,0.00006190081,0.0009340048,0.000006532516],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987213,0.00001979203,0.00009573706,0.00004208562,0.000001285009,0.000005597449,0.0001804672,0.000002613668,0.0009309917],"genre_scores_gemma":[0.9995033,0.00001993953,0.00005017025,0.000004704264,0.000001154244,0.000006828194,0.0001422276,5.493548e-7,0.0002710957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02687829,"threshold_uncertainty_score":0.05344367,"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."}}