{"id":"W2145340823","doi":"10.1007/s13280-011-0150-8","title":"Greening China Naturally","year":2011,"lang":"en","type":"article","venue":"AMBIO","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Greening; China; Geography; Biology; Ecology; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002288145,0.0005550965,0.0001830493,0.0007637411,0.001663806,0.001292948,0.0002314601,0.000567476,0.009415986],"category_scores_gemma":[0.0002204609,0.0001342927,0.0004068236,0.001251573,0.000612811,0.0008475177,0.00126497,0.0006271453,0.00084851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377142,"about_ca_system_score_gemma":0.003582145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0113141,"about_ca_topic_score_gemma":0.03833653,"domain_scores_codex":[0.9998502,0.0000133314,0.000009018882,0.00003631453,0.00004544328,0.00004567586],"domain_scores_gemma":[0.999925,0.000005955182,0.00001009475,0.00002054194,0.00001514097,0.00002316148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000190326,0.0002033199,0.03056702,0.001205409,0.0001892621,0.002702792,0.006596094,0.003822064,0.07587801,0.3149866,0.06308224,0.5005768],"study_design_scores_gemma":[0.00003055317,0.0001052047,0.03801528,0.0000454797,0.00005352786,0.0002271746,0.001085249,0.001132957,0.005051009,0.02274082,0.9314786,0.00003422178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4527083,0.005767956,0.01158395,0.01068947,0.001494966,0.000181456,0.0007883902,0.000805272,0.5159802],"genre_scores_gemma":[0.627538,0.003050528,0.006478416,0.002441562,0.0002889834,0.00008798412,0.0006425669,0.0001394156,0.3593325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0113141,"threshold_uncertainty_score":0.03149962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173281029334951,"score_gpt":0.2121376168191308,"score_spread":0.1904048065257813,"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."}}