{"id":"W4386350755","doi":"10.48014/csdr.20230405001","title":"Bibliometric and Visual Analysis of Natural Capital Studies","year":2023,"lang":"en","type":"article","venue":"Chinese Sustainable Development Review","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural capital; China; Natural resource; Sustainable development; Beijing; Capital (architecture); Political science; Bibliometrics; Geography; Regional science; Economic growth; Library science; Ecosystem services; Economics; Ecology; Archaeology; Computer science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007621607,0.0005884013,0.001152426,0.1877356,0.001060412,0.004679152,0.0007786044,0.0004410856,0.01091379],"category_scores_gemma":[0.04249733,0.0001909258,0.001085725,0.2146039,0.0006819924,0.00269923,0.002152587,0.000441674,0.001197609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158069,"about_ca_system_score_gemma":0.003424427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008030844,"about_ca_topic_score_gemma":0.009903678,"domain_scores_codex":[0.9866041,0.00271568,0.002519981,0.0008713689,0.006730647,0.0005583671],"domain_scores_gemma":[0.9532242,0.02900816,0.006862893,0.001581136,0.008617236,0.0007062737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003983767,0.000225012,0.1954378,0.03660687,0.001260455,0.001302978,0.01508201,0.003753743,0.003650022,0.04425875,0.1556075,0.5424164],"study_design_scores_gemma":[0.00007821377,0.0001449108,0.5427588,0.003866981,0.001008982,0.001056632,0.01556961,0.008533156,0.002520323,0.01600819,0.4082535,0.0002006814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4028286,0.0414195,0.01678881,0.004008267,0.0009634402,0.002157597,0.2860889,0.004369238,0.2413757],"genre_scores_gemma":[0.8338937,0.0197827,0.02686034,0.0002564397,0.0008958781,0.002648684,0.1046618,0.0003696072,0.01063094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8122644,"threshold_uncertainty_score":0.04030734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168381007256599,"score_gpt":0.299960313550118,"score_spread":0.288276503477552,"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."}}