{"id":"W7133279055","doi":"","title":"Grey Seal Abundance in Canadian Waters and Harvest Advice","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abundance (ecology); Population; Nova scotia; Population model; Production model; Reproduction; Vital rates; Population growth; Population size","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":[0.0006513284,0.0003114574,0.0002372473,0.0006426295,0.001109434,0.001335155,0.001060928,0.0003973951,0.006312049],"category_scores_gemma":[0.002400639,0.0002918825,0.0006449703,0.0007212994,0.0005252776,0.0006577402,0.0006231893,0.0004370227,0.000457758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02032227,"about_ca_system_score_gemma":0.01700173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837398,"about_ca_topic_score_gemma":0.9903637,"domain_scores_codex":[0.999645,0.00003202607,0.00001558969,0.00008218738,0.0001218639,0.0001033214],"domain_scores_gemma":[0.9995568,0.00006214721,0.00005078581,0.00002496698,0.0002447327,0.00006047713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001915539,0.0000527299,0.5962076,0.0002220115,0.0002636216,0.0004255483,0.001278177,0.2840145,0.001057037,0.0191666,0.03111605,0.06600462],"study_design_scores_gemma":[0.00006882718,0.000108088,0.4460288,0.0003372503,0.0002417814,0.0002250431,0.002715856,0.4499554,0.0006472702,0.007720893,0.09173062,0.0002201661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880634,0.001600414,0.01692515,0.004558078,0.0001768914,0.0001311175,0.02321396,0.0004833876,0.07227701],"genre_scores_gemma":[0.9699568,0.0006893004,0.007108607,0.0002660363,0.00001589218,0.00002879111,0.005428056,0.00006257113,0.01644402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02032227,"threshold_uncertainty_score":0.147449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007727073699198705,"score_gpt":0.2282825059260437,"score_spread":0.220555432226845,"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."}}