{"id":"W2544130301","doi":"10.15273/pnsis.v47i1.3379","title":"GROWTH AND OVERPOPULATION OF YELLOW PERCH AND THE APPARENT EFFECT OF INCREASED COMPETITION ON BROOK TROUT IN LONG LAKE, HALIFAX COUNTY, NOVA SCOTIA","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Nova Scotian Institute of Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Perch; Nova scotia; Trout; Fishery; Competition (biology); Biology; Population; Animal science; Ecology; Fish <Actinopterygii>; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003190892,0.0001271347,0.0001399162,0.0005200355,0.0006405333,0.0003402076,0.0002573119,0.0002062293,0.0009329177],"category_scores_gemma":[0.000731981,0.0001692157,0.0001222234,0.0004016968,0.0006407071,0.0001465594,0.0003535646,0.0002879669,0.0001124114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401526,"about_ca_system_score_gemma":0.001744629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7599896,"about_ca_topic_score_gemma":0.9410172,"domain_scores_codex":[0.9998386,0.00002609478,0.00001106635,0.00003409183,0.00003602601,0.00005415655],"domain_scores_gemma":[0.9990098,0.0001067175,0.0003071766,0.00003129543,0.0001800096,0.00036486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005096093,0.0000153072,0.9977859,0.000007608477,0.00001617635,0.000122553,0.0002822866,0.00007936741,0.0005719679,0.00001502339,0.0001798606,0.0008730073],"study_design_scores_gemma":[0.00000136329,0.00001021398,0.9996785,0.000001932884,0.000001483476,0.00002327357,0.000192337,0.00003451904,0.00001195025,0.00000186064,0.00004184356,7.406391e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996734,0.00003334496,0.000007077102,0.00002206958,0.000001348386,0.00000165034,0.0001153164,6.938878e-7,0.0001450923],"genre_scores_gemma":[0.9994288,0.000042946,0.00002342081,0.00001734502,0.000001557596,0.000003037046,0.0001535999,6.391872e-7,0.000328606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2400104,"threshold_uncertainty_score":0.4828477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001949891665193,"score_gpt":0.2282956241042357,"score_spread":0.2182761251875837,"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."}}