{"id":"W4386542834","doi":"10.1007/s10669-023-09940-z","title":"Structured decision making remains underused in ecological restoration despite opportunities","year":2023,"lang":"en","type":"article","venue":"Environment Systems & Decisions","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Restoration ecology; Stakeholder; Ecosystem services; Environmental resource management; Novel ecosystem; Adaptive management; Conceptual framework; Computer science; Risk analysis (engineering); Management science; Environmental planning; Ecology; Business; Ecosystem; Environmental science; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.04466064,0.0005991229,0.0008599164,0.001327288,0.00419522,0.01081518,0.002938037,0.003465882,0.006381859],"category_scores_gemma":[0.05249864,0.0004146209,0.0006719095,0.001407135,0.02499631,0.006447562,0.006454958,0.007265824,0.001185151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00446489,"about_ca_system_score_gemma":0.0211457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724526,"about_ca_topic_score_gemma":0.01261181,"domain_scores_codex":[0.9809417,0.0114584,0.000532473,0.001591607,0.004099441,0.001376433],"domain_scores_gemma":[0.9281452,0.04554146,0.004533255,0.007489654,0.007008506,0.007281892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002808639,0.0004780873,0.006653994,0.0008419863,0.0001236346,0.0001244496,0.00817193,0.004744035,0.000723401,0.4996478,0.03237118,0.4458387],"study_design_scores_gemma":[0.00006347156,0.0001326599,0.003753597,0.001256621,0.00004309027,0.00008939545,0.007748367,0.003674398,0.0005246982,0.8478205,0.134832,0.00006116529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1316995,0.0210614,0.1535734,0.5158893,0.005159178,0.0002774503,0.0002564034,0.0005542688,0.1715291],"genre_scores_gemma":[0.9042249,0.009055969,0.05040934,0.0257444,0.001716874,0.000316574,0.000128274,0.0001230794,0.008280506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04466064,"threshold_uncertainty_score":0.2361909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06296626417719493,"score_gpt":0.270722525104063,"score_spread":0.2077562609268681,"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."}}