{"id":"W2995182415","doi":"10.1002/jwmg.21799","title":"Hierarchical Classification of Narwhal Subpopulations Using Social Distance","year":2019,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; McGill University","funders":"","keywords":"Geography; Arctic; Population; Fishery; Ecology; Physical geography; Biology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006570009,0.0002648669,0.0002545495,0.005202806,0.0007586979,0.0009598735,0.0004282748,0.0001920013,0.001968821],"category_scores_gemma":[0.002122752,0.00009224399,0.000220154,0.002148856,0.0003848778,0.0003271982,0.000777223,0.0002239764,0.0002991448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112685,"about_ca_system_score_gemma":0.0008819632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1897731,"about_ca_topic_score_gemma":0.3261316,"domain_scores_codex":[0.9995822,0.0000853913,0.00002906479,0.00008539871,0.0001296218,0.00008823165],"domain_scores_gemma":[0.9986038,0.0002727642,0.0002261841,0.0001033472,0.0006312618,0.0001627315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001241782,0.00003928585,0.9405045,0.00007636422,0.0001346424,0.00006183001,0.001757287,0.001575689,0.003447091,0.0007214969,0.001361046,0.05019645],"study_design_scores_gemma":[0.000006916393,0.00004522365,0.978919,0.00004210024,0.00002999626,0.00004546894,0.004773245,0.01301546,0.0004974058,0.000738679,0.00186431,0.00002224758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913402,0.0002133254,0.003893721,0.00006509972,0.00001051414,0.00009370954,0.001228546,0.00005806152,0.003096801],"genre_scores_gemma":[0.9942934,0.00005293292,0.00372425,0.000007397184,0.000005249497,0.0000353398,0.001120863,0.000006682933,0.0007537996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1897731,"threshold_uncertainty_score":0.377337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451528916290873,"score_gpt":0.2791018982383728,"score_spread":0.2445866090754641,"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."}}