{"id":"W2765353073","doi":"10.1111/cobi.12985","title":"Adaptive social impact management for conservation and environmental management","year":2017,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Adaptive management; Environmental planning; Environmental resource management; Business; Geography; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000312891,0.000119749,0.0001933549,0.00007354283,0.0004760688,0.00005496048,0.0001335882,0.00008818381,0.0001618513],"category_scores_gemma":[0.000009581526,0.0001401059,0.00006575142,0.00001265191,0.0001830248,0.0002216182,0.0000998072,0.00003758925,0.000094099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481918,"about_ca_system_score_gemma":0.000002501838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009434096,"about_ca_topic_score_gemma":0.0000113717,"domain_scores_codex":[0.9991628,0.00001163146,0.0003117765,0.0003310615,0.00001290827,0.0001698317],"domain_scores_gemma":[0.9993382,0.00002493099,0.0003951272,0.0002058169,0.000003792809,0.00003217191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005079369,0.00003837165,0.6707557,0.00001636493,0.0001473814,4.499085e-7,0.00009502756,0.000004992302,0.00004492657,0.3206962,0.00191863,0.00623116],"study_design_scores_gemma":[0.001160228,0.00008327683,0.9300943,0.000003350843,0.00001544183,9.44391e-7,0.0001576113,0.004011278,0.00001613469,0.0498674,0.01443203,0.0001579855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736505,0.0002031545,0.01438387,0.002753827,0.0002298966,0.0006971066,0.0003820202,0.00001844488,0.007681135],"genre_scores_gemma":[0.9953896,0.0002550542,0.002042491,0.0007758243,0.00005776013,0.0001448017,0.0003126624,0.00001265478,0.001009101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2708288,"threshold_uncertainty_score":0.5713351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1372696838286828,"score_gpt":0.2737392691959073,"score_spread":0.1364695853672244,"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."}}