{"id":"W2510436833","doi":"10.1139/cjfas-2015-0430","title":"Genetic population structure in Greenland halibut (<i>Reinhardtius hippoglossoides</i>) and its relevance to fishery management","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Halibut; Fishery; Population; Biology; Population structure; Geography; Fisheries management; Hippoglossus hippoglossus; Genetic structure; Ecology; Fishing; Genetic variation; Demography; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002242168,0.0001349804,0.0001302332,0.0008714114,0.0002835696,0.0003328222,0.0001648574,0.0001282833,0.0004804456],"category_scores_gemma":[0.0002420318,0.00006678177,0.0001383088,0.0005409456,0.0002974371,0.0001237319,0.0002205786,0.0001216007,0.00006015092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363381,"about_ca_system_score_gemma":0.000312189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05821653,"about_ca_topic_score_gemma":0.1263711,"domain_scores_codex":[0.9999151,0.0000112886,0.000006043148,0.00003809914,0.00001394926,0.00001546206],"domain_scores_gemma":[0.9998636,0.00002440825,0.00005685332,0.000007704474,0.00002343176,0.00002388945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000264913,0.00003076999,0.903832,0.00003652727,0.000183741,0.000174734,0.000951987,0.001044176,0.07546109,0.000290966,0.0001421606,0.01758689],"study_design_scores_gemma":[0.000002577525,0.00001768599,0.9988315,0.000003993785,0.00001399041,0.00002719641,0.000164266,0.0003937305,0.0003818173,0.00003513708,0.0001251931,0.000002901335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996895,0.00005684396,0.00008288426,0.000005513828,5.621161e-7,0.000001097059,0.00005326233,0.000001775663,0.0001086937],"genre_scores_gemma":[0.9993485,0.00004479979,0.0002285483,0.000008353416,8.430296e-7,0.000003089729,0.0002210248,0.000001391928,0.0001434694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05821653,"threshold_uncertainty_score":0.1157554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477564931808988,"score_gpt":0.2311041265579743,"score_spread":0.2163284772398845,"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."}}