{"id":"W3177556656","doi":"10.3390/su13147629","title":"When Housing and Communities Were Delivered: A Case Study of Post-Wenchuan Earthquake Rural Reconstruction and Recovery","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canada Research Chairs","keywords":"Grassroots; Livelihood; Government (linguistics); Rural housing; Disaster recovery; Business; Environmental planning; Economic growth; Sustainable community; Sustainable development; Rural area; Political science; Geography; Agriculture; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003143087,0.0005616551,0.0005865395,0.001003696,0.01810926,0.002916854,0.002218536,0.002335971,0.002925367],"category_scores_gemma":[0.004971655,0.0006251012,0.0004924498,0.001141573,0.005971598,0.002557618,0.006139069,0.00392254,0.0003036101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040498,"about_ca_system_score_gemma":0.005000531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01809771,"about_ca_topic_score_gemma":0.0547577,"domain_scores_codex":[0.9957809,0.002719131,0.00008202309,0.0002407664,0.0002603518,0.0009168371],"domain_scores_gemma":[0.9977902,0.0007932526,0.0002659505,0.000153538,0.0001960921,0.0008009088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007328642,0.000377683,0.009383574,0.000114769,0.00001801485,0.01745169,0.9533973,0.0001772565,0.0009357458,0.002977774,0.001629888,0.01346298],"study_design_scores_gemma":[0.000004283901,0.000110845,0.002864798,0.00004530498,0.000006530499,0.001439194,0.9891915,0.0001219268,0.0002372184,0.0002403949,0.005723354,0.00001464438],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939221,0.0001830016,0.0006905732,0.002035935,0.00005562857,0.00009221865,0.00003199904,0.00001384777,0.002974824],"genre_scores_gemma":[0.9962146,0.000343029,0.0006624277,0.0004440492,0.00001529333,0.00007617741,0.00002302715,0.00001731527,0.002204021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01810926,"threshold_uncertainty_score":0.03598469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401305035347924,"score_gpt":0.2774384749775257,"score_spread":0.2634254246240464,"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."}}