{"id":"W2384693945","doi":"","title":"Impact of land conversion on rural systems in typical agricultural counties ofeastern plain area, China","year":2014,"lang":"en","type":"article","venue":"","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Geography; Agriculture; Rural area; Land use; Resource (disambiguation); Scale (ratio); Agricultural economics; Rural settlement; Agricultural land; Population; Land management; Quarter (Canadian coin); Socioeconomic development; Environmental protection; Economic growth; Economics; Civil engineering; Cartography; Demography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003505823,0.0001745771,0.0001139172,0.001036153,0.0005344783,0.0006643127,0.0002529125,0.0001298065,0.0008796347],"category_scores_gemma":[0.0009664744,0.0001326079,0.0002189238,0.001345642,0.0008390509,0.0004364879,0.0009942874,0.0001372939,0.00004375214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599072,"about_ca_system_score_gemma":0.001000905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03722516,"about_ca_topic_score_gemma":0.09043186,"domain_scores_codex":[0.9996011,0.00009367001,0.00002477725,0.00006281705,0.00007095082,0.0001467779],"domain_scores_gemma":[0.9994676,0.00008762435,0.0001846622,0.00003943464,0.00008430496,0.0001363793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005194183,0.00004166532,0.9890416,0.00001831889,0.00004269685,0.000521193,0.001144369,0.001286884,0.001313055,0.0003271663,0.00009782462,0.006113217],"study_design_scores_gemma":[0.000001206381,0.00001449067,0.9985309,0.00000149877,0.000004285387,0.00004008541,0.0006883763,0.0004796443,0.00006737634,0.00004116253,0.0001290092,0.00000194501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999644,0.00001924784,0.00002286904,0.00001160316,4.395596e-7,0.000002510958,0.00002661463,0.000001844782,0.0002709191],"genre_scores_gemma":[0.9998418,0.00001866268,0.00002013256,0.000002033483,5.329046e-7,0.000001347067,0.00003648745,3.319804e-7,0.00007869799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03722516,"threshold_uncertainty_score":0.07401699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005172687085798857,"score_gpt":0.1945933618320934,"score_spread":0.1894206747462946,"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."}}