{"id":"W2376790189","doi":"","title":"Relationship between livelihood capital and livelihood strategy of rural households:A case of Nyingchi in Tibet","year":2014,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Livelihood; Natural capital; Business; Financial capital; Agriculture; Human capital; Physical capital; Social capital; Participatory rural appraisal; Stock (firearms); Capital (architecture); Order (exchange); Finance; Economic growth; Economics; Geography; Ecosystem services; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.0004774893,0.0001625022,0.000304213,0.0001160594,0.0000964852,0.00001544709,0.0001564927,0.0001125453,0.0001285743],"category_scores_gemma":[0.000102391,0.0001609733,0.00004719922,0.0002220325,0.0001817252,0.0002387834,0.0001884388,0.0001699355,0.00002931916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003585813,"about_ca_system_score_gemma":0.000007877088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247634,"about_ca_topic_score_gemma":0.001286735,"domain_scores_codex":[0.9987827,0.0001228916,0.0004169866,0.0002312389,0.0001456525,0.0003005179],"domain_scores_gemma":[0.9992014,0.0002919253,0.0002055686,0.0002027031,0.000008112595,0.00009029939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001053392,0.00004931553,0.9910154,0.00004749382,0.00001139754,0.00001991344,0.002188631,0.0002269953,0.0006595412,0.0008402168,0.00005381252,0.004876749],"study_design_scores_gemma":[0.0006769851,0.0002438896,0.9938558,0.00003482901,0.00004206024,0.00003353584,0.002164814,0.0002405892,0.0002949705,0.002210784,0.00002705992,0.0001746451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995709,0.00005979644,0.0003026804,0.00004191669,0.00005032849,0.0002504577,0.000009854213,0.00002471271,0.003551275],"genre_scores_gemma":[0.9993849,0.000007868985,0.0003949111,0.00001162156,0.00004593463,0.000008231639,0.00001058767,0.00001821829,0.0001176735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004702104,"threshold_uncertainty_score":0.6564299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837191866986428,"score_gpt":0.2359837753806269,"score_spread":0.2176118567107626,"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."}}