{"id":"W2068155323","doi":"10.3354/esr00102","title":"Challenges of assessing cetacean population recovery and conservation status","year":2008,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"ArcticNet","keywords":"IUCN Red List; Conservation status; Population; Whaling; Endangered species; Flagship species; Critically endangered; Conservation biology; Population viability analysis; Habitat destruction; Marine conservation; Geography; Ecology; Environmental resource management; Fishery; Habitat; Biology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006431104,0.00008502967,0.00016487,0.00006926293,0.0002853422,0.00002204032,0.0001060138,0.00004345596,0.0009708265],"category_scores_gemma":[0.0003539301,0.00007989108,0.00002802363,0.0002732477,0.0003630414,0.0003243051,0.0004251415,0.0001614451,0.0000468536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124924,"about_ca_system_score_gemma":0.00001269761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076473,"about_ca_topic_score_gemma":0.00422987,"domain_scores_codex":[0.9983947,0.0001971988,0.0001915121,0.0002687082,0.0006358292,0.0003120819],"domain_scores_gemma":[0.9993774,0.0002542076,0.00006667982,0.00019217,0.00003754713,0.000072021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004092425,0.00007247731,0.9095811,0.00008056713,0.00001911002,0.00001333172,0.001114118,0.00001464601,0.004072631,0.001117275,0.006079907,0.07779396],"study_design_scores_gemma":[0.0001321534,0.00008018882,0.9693651,0.0000173345,0.000002061683,0.000005255914,0.0005760358,0.0000656762,0.0004907651,0.0005333786,0.02865648,0.00007554494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044566,0.00146221,0.000007361569,0.0007310864,0.00003573132,0.0001571705,0.000003989456,0.00001541485,0.09313049],"genre_scores_gemma":[0.9872553,0.01081764,0.0007644253,0.00002301914,0.00004021826,0.000008075877,0.000007036516,0.00001039188,0.001073869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09205662,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1913403459791775,"score_gpt":0.3563315676521373,"score_spread":0.1649912216729598,"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."}}