{"id":"W3028212125","doi":"10.1002/ece3.6383","title":"Insights on the concept of indicator populations derived from parentage‐based tagging in a large‐scale coho salmon application in British Columbia, Canada","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Genome British Columbia; Genome Canada","keywords":"Oncorhynchus; Fishery; Productivity; Hatchery; Geography; Fisheries management; Population; Biodiversity; Resource (disambiguation); Ecology; Environmental resource management; Fish <Actinopterygii>; Biology; Environmental science; Fishing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002358507,0.0001988086,0.0002041731,0.001085154,0.001152938,0.001481335,0.0007440062,0.0002063642,0.001056015],"category_scores_gemma":[0.008589898,0.0001477948,0.0001233131,0.001647531,0.001118684,0.0004898368,0.0005740451,0.0004564536,0.00006842169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006084722,"about_ca_system_score_gemma":0.00678826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9201155,"about_ca_topic_score_gemma":0.966925,"domain_scores_codex":[0.9994341,0.0002288853,0.00003345124,0.0001302071,0.00009217706,0.000081078],"domain_scores_gemma":[0.9964659,0.001383639,0.0004247151,0.0002399089,0.001173782,0.000312061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009686912,0.00003200943,0.9014046,0.00006799551,0.00007864056,0.0001524792,0.00347011,0.005077825,0.003340245,0.00406345,0.001281018,0.08093493],"study_design_scores_gemma":[0.000007789814,0.00003232479,0.9827468,0.00006012889,0.00003947224,0.00007341168,0.003507274,0.010137,0.0003357692,0.001125478,0.001917023,0.00001747469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744413,0.0004941419,0.01551543,0.0004446139,0.00001464327,0.000123215,0.0006931259,0.00005113081,0.008222291],"genre_scores_gemma":[0.9918344,0.0001161881,0.006853911,0.00006514397,0.000002907278,0.00003564795,0.0002506063,0.00001054015,0.0008306411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07988453,"threshold_uncertainty_score":0.1607099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007596532175931456,"score_gpt":0.1907484858709479,"score_spread":0.1831519536950164,"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."}}