{"id":"W3203733928","doi":"10.3354/esr01148","title":"A novel mark-recapture-recovery survey using genetic sampling for polar bears Ursus maritimus in Baffin Bay","year":2021,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Environment and Climate Change Canada; Government of Nunavut","funders":"Miljø- og Fødevareministeriet; Environment and Climate Change Canada; Ministry of Environment; Parks Canada; Pinngortitaleriffik; University of Washington; University of Minnesota; National Aeronautics and Space Administration","keywords":"Ursus maritimus; Bay; Ursus; Distance sampling; Abundance (ecology); Mark and recapture; Sampling (signal processing); Fjord; Range (aeronautics); Sea ice; Fishery; Geography; Biology; Arctic; Ecology; Physical geography; Oceanography; Population; Demography; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002455956,0.0002487114,0.0003951757,0.0001544616,0.0004637644,0.0001848555,0.0005214757,0.0001346688,0.005069426],"category_scores_gemma":[0.00234349,0.0002663827,0.0001458938,0.001495317,0.0004352232,0.0001911077,0.001644569,0.0005201726,0.0001367246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352678,"about_ca_system_score_gemma":0.0001189329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03164966,"about_ca_topic_score_gemma":0.1841125,"domain_scores_codex":[0.9961457,0.0004703793,0.0004242055,0.0008060061,0.0009641649,0.001189535],"domain_scores_gemma":[0.9978288,0.001294189,0.00006192347,0.0004919879,0.0001350625,0.0001879974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007612701,0.0009726011,0.7605013,0.0003720895,0.0001709285,0.000268168,0.001073109,0.004752247,0.1040496,0.0001974265,0.01164873,0.1152325],"study_design_scores_gemma":[0.0006772731,0.0001048331,0.953256,0.00005910404,0.000007366858,0.00002045523,0.0003814579,0.0009510546,0.0006376351,0.0002392484,0.04336866,0.0002969176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788602,0.002768494,0.002290647,0.0002691242,0.0002309946,0.0008068355,0.0005372048,0.00002858171,0.01420794],"genre_scores_gemma":[0.8574835,0.002863117,0.1234446,0.0004054555,0.0005912458,0.000246823,0.0002720836,0.0002154425,0.0144777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927546,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1749206951125263,"score_gpt":0.3594304086765773,"score_spread":0.184509713564051,"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."}}