{"id":"W2972734262","doi":"10.1002/rem.21612","title":"Ten years later: The progress and future of integrating sustainable principles, practices, and metrics into remediation projects","year":2019,"lang":"en","type":"article","venue":"Remediation Journal","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Environmental remediation; Sustainability; Sustainable development; White paper; Environmental planning; Political science; Environmental science","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":[0.002050319,0.00005551884,0.00009589235,0.00009909329,0.0003693686,0.0001373937,0.00008656635,0.00007595451,0.00002068153],"category_scores_gemma":[0.0006744249,0.00004020979,0.00001473322,0.0002397684,0.0001240739,0.0006060035,0.00003850595,0.0002426798,0.00000170485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187011,"about_ca_system_score_gemma":0.0002298229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676106,"about_ca_topic_score_gemma":0.0002578803,"domain_scores_codex":[0.9988768,0.0002019891,0.0002270592,0.00009409361,0.0004180441,0.000182025],"domain_scores_gemma":[0.9988986,0.0002030096,0.0006495658,0.00006013814,0.0001066492,0.00008198468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003615887,0.00004489313,0.8297693,0.0005422104,0.00002273382,0.000005322864,0.09820749,0.000005903436,0.00009825866,0.0228972,0.0002841471,0.04808643],"study_design_scores_gemma":[0.0005426775,0.0001839835,0.4675204,0.0001139753,0.00006710853,0.00001497662,0.4036008,0.0003342563,0.0000636211,0.0008516932,0.1265686,0.0001378256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844663,0.0070895,0.00001271658,0.006765298,0.0002914562,0.000432464,7.964001e-7,0.000009141304,0.0009323934],"genre_scores_gemma":[0.9754919,0.02183385,0.001340348,0.0001349871,0.0008178486,0.000007126786,0.000003074407,0.000006608013,0.0003642165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3622488,"threshold_uncertainty_score":0.2840922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159573168934783,"score_gpt":0.3161535679186366,"score_spread":0.2945578362292888,"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."}}