{"id":"W2603770796","doi":"","title":"Management of Closed Landfills Regarding Biodiversity Preservation and Climate Change Mitigation: A SWOT Analysis for the Selected Case Studies in Asian Regions （共著）","year":2011,"lang":"en","type":"article","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"SWOT analysis; Biodiversity; Climate change; Environmental resource management; Environmental planning; Environmental science; Geography; Business; Ecology; Biology","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":[0.0002884039,0.00007977966,0.0001159739,0.00007039929,0.0001666499,0.000007975999,0.00008342432,0.00002118745,0.00014338],"category_scores_gemma":[0.00001081631,0.00005991506,0.00004093989,0.0005505761,0.0001283938,0.0002323778,0.0002295011,0.00002691878,0.000004947014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006215031,"about_ca_system_score_gemma":5.367265e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009297146,"about_ca_topic_score_gemma":0.004597823,"domain_scores_codex":[0.9993545,0.00003872684,0.0001650123,0.0001981843,0.0001146303,0.0001289523],"domain_scores_gemma":[0.9996606,0.00004829766,0.00009052439,0.0001663911,0.000008577962,0.00002562559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006111916,0.00009809636,0.9886343,0.00008884977,0.0005384973,0.00006136693,0.00508045,0.00006562241,0.00003734592,0.002137105,0.0009339951,0.002263178],"study_design_scores_gemma":[0.000564803,0.00004363944,0.9891206,0.00001540691,0.0004154007,0.000004200359,0.007467675,0.001334667,0.0001757634,0.0001532364,0.0006066248,0.00009800947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913745,0.00006719512,0.001348316,0.001998398,0.00003063905,0.001263322,0.00002019177,0.00002655123,0.003870878],"genre_scores_gemma":[0.9961419,0.0004305024,0.002763338,0.0003098896,0.000003059266,0.000112748,0.00001334687,0.000002618946,0.0002226149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004767374,"threshold_uncertainty_score":0.2565693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065495797174309,"score_gpt":0.2711761482454062,"score_spread":0.1646265685279753,"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."}}