{"id":"W2606752141","doi":"10.3354/esr00831","title":"Conservation physiology can inform threat assessment and recovery planning processes for threatened species","year":2017,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"IUCN Red List; Threatened species; Conservation biology; Operationalization; Endangered species; Ecology; Population; Library science; Environmental ethics; Biology; Sociology; Habitat; Computer 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000638502,0.0001385272,0.0002118659,0.00007671312,0.002214118,0.0001818262,0.0003774833,0.00007836084,0.0005422448],"category_scores_gemma":[0.0005845762,0.000118081,0.00002878812,0.00009614883,0.001187324,0.0004197339,0.00084808,0.0001780136,0.0000216732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286348,"about_ca_system_score_gemma":0.00004226945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865117,"about_ca_topic_score_gemma":0.006334955,"domain_scores_codex":[0.9986895,0.00004636469,0.0001610555,0.0003612327,0.0002674136,0.0004744823],"domain_scores_gemma":[0.9989618,0.0004490775,0.0001089574,0.0003528702,0.00007026688,0.00005704472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001847076,0.00006562032,0.8632985,0.0001647632,0.00009628399,0.000007182377,0.001016023,0.00003964898,0.003762323,0.003031085,0.1263875,0.00194635],"study_design_scores_gemma":[0.0004157872,0.0002256075,0.9500298,0.00002033149,0.000008538933,0.000001073011,0.001151366,0.00005131941,0.0007312545,0.006422527,0.04081438,0.0001280128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080685,0.00007028236,0.0001456597,0.01240222,0.0001853877,0.0008866565,0.000057314,0.00004267659,0.1781413],"genre_scores_gemma":[0.9714181,0.000838719,0.0008864877,0.0003107051,0.0001318557,0.0003226751,0.00004319171,0.00001452388,0.02603372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633496,"threshold_uncertainty_score":0.9990849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404692743854878,"score_gpt":0.3855994866646936,"score_spread":0.2451302122792058,"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."}}