{"id":"W2503015936","doi":"10.1057/9780230234253_12","title":"Environmental and Resource Implications of Chinese Growth: Current Trends and Future Prospects","year":2009,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Water Resources and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural resource; Arable land; Per capita; China; Natural resource economics; Economic shortage; Population growth; Quarter (Canadian coin); Consumption (sociology); Resource (disambiguation); Natural (archaeology); Population; Geography; Agricultural economics; Economics; Business; Agriculture; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000085,0.0004439412,0.0003788361,0.0001298974,0.0001282496,0.0000337681,0.0002351518,0.0001424003,0.00059054],"category_scores_gemma":[0.00000119611,0.0003626747,0.0001109821,0.00001951583,0.0003581155,0.000001403469,0.0005156164,0.000207638,0.00002731977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007393616,"about_ca_system_score_gemma":0.000002214051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154367,"about_ca_topic_score_gemma":0.00004177701,"domain_scores_codex":[0.9984333,0.00001553486,0.000336925,0.0006291923,0.0003069943,0.0002780646],"domain_scores_gemma":[0.9991049,0.00001431144,0.0002340321,0.0004511926,0.000002968738,0.0001926065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003827582,0.000004842392,0.01899691,0.00008895996,0.00007928081,0.00001366803,0.001202707,0.000001405699,0.0006065514,0.1407464,0.0001739964,0.838047],"study_design_scores_gemma":[0.0005438005,0.0002077703,0.4149032,0.00004690342,0.0001134776,0.00003750982,0.00002318848,0.000007423415,0.00004546289,0.4557321,0.1277114,0.000627742],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01443085,0.00236635,0.000005244089,0.0003598738,0.00005440311,0.0005197062,0.0001624774,0.00004037803,0.9820607],"genre_scores_gemma":[0.9922501,0.000803248,0.00011168,0.0000964659,0.0001939847,0.00001955431,0.00006779943,0.00004448791,0.006412678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9778193,"threshold_uncertainty_score":0.9998825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006988477440427873,"score_gpt":0.204606986330938,"score_spread":0.1976185088905101,"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."}}