{"id":"W4380886543","doi":"10.1016/b978-0-323-93940-9.00059-1","title":"Sustainable Development and Environmental Repair","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sustainable development; Globe; Threatened species; Industrialisation; Environmental planning; Business; Environmental resource management; Population; Natural resource economics; Environmental protection; Geography; Political science; Environmental science; Economics; Ecology; Environmental health","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001641856,0.0003718559,0.0003322654,0.000135528,0.00008102485,0.00003085696,0.0001009787,0.0002473439,0.0002163125],"category_scores_gemma":[0.000004902865,0.000402712,0.00007095027,0.000005737384,0.00008009103,0.00004638179,0.0001729784,0.0001612924,0.0007224858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357681,"about_ca_system_score_gemma":0.00002049415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.135353e-8,"about_ca_topic_score_gemma":0.000002079733,"domain_scores_codex":[0.9986997,0.000007174416,0.0003987379,0.0003065869,0.0002674405,0.0003203404],"domain_scores_gemma":[0.9995009,0.00003120166,0.00006766636,0.0002718289,0.000003201369,0.0001251992],"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":[0.00001029839,0.000008035375,0.00006272327,0.0009795858,0.0004408322,0.0004449649,0.001332965,0.00005958114,0.001866164,0.00240008,0.0008715536,0.9915232],"study_design_scores_gemma":[0.0001667005,0.00001468364,0.0002029582,0.00009796057,0.00003834997,0.000008662655,0.00007291744,0.00002234047,0.002289181,0.0006073598,0.9960252,0.0004536864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007237682,0.0009027173,0.000001850135,0.00000417613,0.0003467944,0.0005836873,0.00003720296,0.0007783368,0.9901075],"genre_scores_gemma":[0.003290026,0.0003997678,0.0004854921,0.00003198463,0.0001210516,0.00007249569,0.0001147268,0.0002139861,0.9952705],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9951537,"threshold_uncertainty_score":0.9998425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007677273778695821,"score_gpt":0.1790739504180435,"score_spread":0.1713966766393477,"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."}}