{"id":"W4408744665","doi":"10.1111/rec.70024","title":"Review: Reconciliation in a Michigan Watershed: Restoring Ken‐O‐Sha. By Gail GunstHeffner and David P.Warners (2024) Michigan State University Press, 283 pages","year":2025,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Watershed; Environmental ethics; Computer science; Philosophy; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004362766,0.0001242525,0.000180117,0.00007208288,0.0001174346,0.00002248663,0.000138092,0.00006787927,0.00007622243],"category_scores_gemma":[0.00004860836,0.0001224622,0.0000231515,0.0002082269,0.00008537401,0.0002693695,0.0001282534,0.0001223824,0.00002975322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001858454,"about_ca_system_score_gemma":0.00001634216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004963265,"about_ca_topic_score_gemma":0.004723778,"domain_scores_codex":[0.9988821,0.0002217826,0.0002222582,0.0003547534,0.000100646,0.0002184175],"domain_scores_gemma":[0.9996052,0.00004533951,0.00009885817,0.0001891201,0.000008603954,0.00005281136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001000914,0.0001325692,0.3835563,0.0003079952,0.00004207248,0.00002785047,0.001137984,0.001609693,0.00231332,0.0001404419,0.5990517,0.01157993],"study_design_scores_gemma":[0.0005272617,0.00005482402,0.1407686,0.00009953054,0.0000247965,8.918558e-7,0.0001365074,0.0004572029,0.0001208456,0.00007754573,0.8575836,0.0001483864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801987,0.001953075,0.0001638578,0.008766714,0.0003941114,0.0006671131,0.00001370567,0.00005250559,0.007790214],"genre_scores_gemma":[0.8213592,0.07073593,0.0005523614,0.007255323,0.00006370191,0.00005697927,0.0002143637,0.0000317022,0.09973048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585319,"threshold_uncertainty_score":0.4993863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006834535154098599,"score_gpt":0.20836545348697,"score_spread":0.2015309183328714,"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."}}