{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01161886,0.0003067325,0.0002431533,0.0007251505,0.008722253,0.008744251,0.001689654,0.008909379,0.007485245],"category_scores_gemma":[0.0141214,0.0002979613,0.000511643,0.0008537234,0.04640901,0.008401604,0.006720328,0.01079095,0.0003097198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165734,"about_ca_system_score_gemma":0.01528624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04063849,"about_ca_topic_score_gemma":0.09051009,"domain_scores_codex":[0.9934396,0.003542873,0.0001851652,0.0004418479,0.0009857644,0.001404631],"domain_scores_gemma":[0.987305,0.008232976,0.0009749722,0.0006192133,0.001427629,0.001440171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005490646,0.0001024007,0.003224108,0.0001006751,0.00002674573,0.0003954932,0.09311958,0.0006469954,0.0004789942,0.8259048,0.06175559,0.01418973],"study_design_scores_gemma":[0.00004433083,0.00005973074,0.01038705,0.0002931023,0.00002155413,0.0001469744,0.2478967,0.0005112991,0.0008241588,0.2457926,0.4939618,0.00006073979],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04819748,0.001668719,0.001448827,0.8698919,0.0007861677,0.0000273508,0.00003054516,0.00001703359,0.07793192],"genre_scores_gemma":[0.9315666,0.001717238,0.001209304,0.04988066,0.001026933,0.00007745445,0.00002152483,0.00003920606,0.0144612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04063849,"threshold_uncertainty_score":0.08458036,"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."}}