{"id":"W4290694710","doi":"10.1016/j.jglr.2022.08.003","title":"Reflections on social and organizational dimensions of Great Lakes remediation, restoration, and revitalization","year":2022,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Windsor","funders":"","keywords":"Environmental remediation; Regeneration (biology); Environmental ethics; Environmental planning; Sociology; Political science; Environmental resource management; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001812187,0.00006066843,0.0001487086,0.0002645314,0.001900365,0.00007740016,0.0001366868,0.00004759795,0.0001840953],"category_scores_gemma":[0.0009806469,0.00004958252,0.00003212337,0.0008489792,0.0003047874,0.0002268712,0.00007560375,0.0002758966,0.000001099063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735163,"about_ca_system_score_gemma":0.0002533133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002380252,"about_ca_topic_score_gemma":0.001106645,"domain_scores_codex":[0.9974461,0.000667244,0.000304811,0.0001250206,0.001288256,0.0001685835],"domain_scores_gemma":[0.9984425,0.0002340567,0.0002487933,0.0000697972,0.000914024,0.00009087716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001156551,0.0007241019,0.3061575,0.0001845592,0.0002833116,0.00009722923,0.1886481,0.001266994,0.01706579,0.2695978,0.2079196,0.006898486],"study_design_scores_gemma":[0.001503336,0.001321196,0.1119708,0.0001335367,0.00006243215,0.00007888541,0.01667568,0.0001266573,0.0005490336,0.01535892,0.8519316,0.0002878886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842439,0.0006503918,0.00005149512,0.01121525,0.0001694924,0.0002030676,0.00004009622,0.000009367062,0.003416911],"genre_scores_gemma":[0.995577,0.001044292,0.00009072119,0.00005929225,0.0004318799,0.000005150563,0.000008571098,0.00001051219,0.002772532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.644012,"threshold_uncertainty_score":0.999399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064764257544237,"score_gpt":0.4031960761229726,"score_spread":0.2967196503685489,"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."}}