{"id":"W4324361993","doi":"10.1080/08941920.2023.2188503","title":"Industrial Transitions in Michigan: Stakeholder Perspectives on Water Resources Restoration and Community Vibrancy","year":2023,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recreation; Tourism; Stakeholder; Water infrastructure; Environmental restoration; Water resources; Business; Environmental planning; Environmental resource management; Water quality; Political science; Water supply; Geography; Public relations; Environmental science; Environmental engineering; Ecology","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":[0.0003258116,0.0001593401,0.0001456039,0.00004295516,0.0007003074,0.00001866621,0.0001615291,0.0001160138,0.0001535867],"category_scores_gemma":[0.00001551975,0.0001158072,0.00009888761,0.0002845831,0.001763771,0.0001730432,0.0001207144,0.0008268027,0.0001074632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824074,"about_ca_system_score_gemma":0.00000313691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608969,"about_ca_topic_score_gemma":0.0002546635,"domain_scores_codex":[0.9986878,0.0002696461,0.0001558996,0.0002758988,0.0003371474,0.0002735937],"domain_scores_gemma":[0.9996238,0.00009622131,0.0000419553,0.0001642446,0.000002566356,0.00007118961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002082749,0.000366986,0.01195507,0.00001600339,0.00004251699,0.00001324869,0.9260834,0.00186702,0.04741709,0.00002556175,0.008768234,0.003236582],"study_design_scores_gemma":[0.001439965,0.0004118016,0.3456473,0.00007528879,0.00002498392,0.000008071424,0.5521994,0.0004649043,0.0008552804,0.0003373664,0.09796882,0.0005668193],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959342,0.0002659546,0.000001184398,0.002171126,0.00006396815,0.0001652162,0.00001293345,0.00007022984,0.001315198],"genre_scores_gemma":[0.9975279,0.0001132823,0.00004020484,0.0003570022,0.00007936917,0.00001407403,0.00003211054,0.00001573582,0.001820328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.373884,"threshold_uncertainty_score":0.6498688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794044652060867,"score_gpt":0.2194842759721372,"score_spread":0.1915438294515285,"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."}}