{"id":"W4405963443","doi":"10.7755/mfr.81.3-4.7","title":"Meta-population Modeling of Narwhals, Monodon monoceros, in East Canada and West Greenland","year":2019,"lang":"en","type":"article","venue":"Marine Fisheries Review","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Population; Demography; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059564,0.0005461554,0.0007474825,0.001211446,0.0008349733,0.001276571,0.002561104,0.001148557,0.001170033],"category_scores_gemma":[0.001792085,0.0004854947,0.001313108,0.001260527,0.0006238742,0.0008086047,0.0005599625,0.0006516153,0.0002078149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007866458,"about_ca_system_score_gemma":0.00473118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6659766,"about_ca_topic_score_gemma":0.7052476,"domain_scores_codex":[0.9998264,0.00006378635,0.00001181302,0.0000427709,0.0000254247,0.00002993543],"domain_scores_gemma":[0.9993206,0.0003515723,0.00008055644,0.0000336702,0.0001477244,0.0000658827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002238582,0.00001468739,0.0119953,0.00007248359,0.0003686652,0.00008798933,0.0001220977,0.9756563,0.0003074312,0.004207989,0.0005322169,0.006612375],"study_design_scores_gemma":[0.00001053923,0.00001335939,0.004782564,0.00004617466,0.0001592897,0.0000326336,0.0001368084,0.9906235,0.00007785515,0.002917981,0.001182407,0.00001684803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8149852,0.009736083,0.1577743,0.002266762,0.0001147495,0.00009896678,0.003391061,0.0004329789,0.0111999],"genre_scores_gemma":[0.9658554,0.002943733,0.02627965,0.0001524109,0.00002226079,0.00009289682,0.001335226,0.0000621962,0.003256141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3340234,"threshold_uncertainty_score":0.6719811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144467472033863,"score_gpt":0.1937829874153364,"score_spread":0.1623383126949977,"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."}}