{"id":"W2178658214","doi":"10.5751/es-02482-140118","title":"Is There Potential for the Historical Range of Variability to Guide Conservation Given the Social Range of Variability?","year":2009,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Ecology; Conservation status; Nature Conservation; Geography; Conservation biology; Biology; Habitat; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001916867,0.00006505034,0.0001294585,0.000004525164,0.0004793962,0.000005203487,0.0001791427,0.00009799918,0.0002962374],"category_scores_gemma":[0.000115226,0.00004172837,0.0001354517,0.00009178578,0.0002958247,0.00003096657,0.0001123597,0.00006308211,0.000002143886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643646,"about_ca_system_score_gemma":0.00001370527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004117962,"about_ca_topic_score_gemma":0.00007912327,"domain_scores_codex":[0.9992431,0.0001849469,0.0001756217,0.0001675129,0.0001143554,0.000114497],"domain_scores_gemma":[0.9992665,0.0004480854,0.00009071765,0.0001444274,0.00003016147,0.00002010244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006113769,0.0001391042,0.9141746,0.00001969027,0.00005236848,8.816013e-8,0.01141375,0.0000615076,0.0001338034,0.0001944669,0.07199549,0.001754062],"study_design_scores_gemma":[0.0003339397,0.00007229738,0.9671138,8.224034e-7,0.00007150855,1.581944e-7,0.0007712889,0.001170374,0.00000975454,0.001353296,0.02905695,0.00004582334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374654,0.00002171245,0.004629408,0.05624335,0.0001229676,0.0006137711,0.0000221363,0.000008141334,0.0008730862],"genre_scores_gemma":[0.9957985,0.00001913696,0.0005014769,0.002907925,0.00004524984,0.00001214656,0.00000163205,0.00000168809,0.0007122154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0583331,"threshold_uncertainty_score":0.3687176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136426394944271,"score_gpt":0.2274978013428858,"score_spread":0.2138551618484587,"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."}}