{"id":"W2028540044","doi":"10.1080/1747423x.2014.884643","title":"The conversion of agricultural land in the peri-urban areas of Hanoi (Vietnam): patterns in space and time","year":2014,"lang":"en","type":"article","venue":"Journal of Land Use Science","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Urbanization; Infill; Agriculture; Agricultural land; Livelihood; Geography; Land use; Land use, land-use change and forestry; Fragmentation (computing); Agricultural economics; Agroforestry; Environmental science; Economic growth; Economics; Ecology","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":[0.001400756,0.00005602837,0.0001317858,0.00003620512,0.00008363439,0.00005214261,0.0003587532,0.00002024957,0.00002603677],"category_scores_gemma":[0.00004674048,0.00002173771,0.0000254768,0.0002422755,0.00009265707,0.0004032912,0.00007556104,0.0000784078,0.000003701257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002114442,"about_ca_system_score_gemma":0.00001051455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004446925,"about_ca_topic_score_gemma":0.0007307814,"domain_scores_codex":[0.9991148,0.00007733238,0.0002269749,0.00008354725,0.000362726,0.0001345941],"domain_scores_gemma":[0.9994671,0.0001427129,0.0002265103,0.0001031691,0.00001892232,0.00004157579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000153754,0.00001940029,0.9961316,0.0000109642,0.000001082921,0.000001810411,0.001046685,0.000189575,0.00242974,0.000007613025,0.00005360708,0.00009252346],"study_design_scores_gemma":[0.0003105702,0.0001012504,0.9966359,0.00008463617,0.00000471984,0.00003290216,0.000374276,0.001231314,0.0008540271,0.00002358159,0.0003088276,0.00003802561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999078,0.00005131741,0.000002956767,0.0004226624,0.00005223622,0.00005577727,0.000001739628,6.600931e-7,0.000334612],"genre_scores_gemma":[0.9998346,0.00007619554,0.00001966123,0.00003110896,0.00001843976,3.5319e-7,1.674179e-7,0.000001239422,0.00001825801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575713,"threshold_uncertainty_score":0.0886438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005765349932259021,"score_gpt":0.1898205002072725,"score_spread":0.1840551502750135,"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."}}