{"id":"W2910948808","doi":"10.1002/eap.1857","title":"The role of ecotype‐environment interactions in intraspecific trophic niche partitioning subsequent to stocking","year":2019,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Université Laval; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Biology; Ecology; Trophic level; Ecological niche; Stocking; Niche; Intraspecific competition; Ecotype; Population; Fishery; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003536621,0.0001794215,0.0001415067,0.0002933004,0.0002494829,0.0003154273,0.0001850503,0.000155692,0.001596668],"category_scores_gemma":[0.0005097511,0.00008095614,0.000183642,0.0001609511,0.0003132916,0.0001341661,0.0003358717,0.000242932,0.0001317736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799872,"about_ca_system_score_gemma":0.0001822104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749875,"about_ca_topic_score_gemma":0.005872875,"domain_scores_codex":[0.9998038,0.00006047345,0.00001261719,0.00005320775,0.00003414225,0.00003582584],"domain_scores_gemma":[0.9994712,0.0001229492,0.0001821423,0.0000414397,0.00005202057,0.0001301412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003915177,0.0001489477,0.873494,0.00001932032,0.0001471348,0.0002293471,0.000341524,0.0001374833,0.1209906,0.00007209187,0.00007416428,0.003953807],"study_design_scores_gemma":[7.202551e-7,0.00006003878,0.9990479,0.000001190011,0.000006541878,0.00003205035,0.00008996279,0.0001171175,0.0005959866,0.00001668971,0.00003048475,0.000001339603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999759,0.00002802592,0.00005510404,0.000004681481,0.000001253908,0.000001049772,0.00002095528,0.000001143911,0.0001287185],"genre_scores_gemma":[0.999765,0.00001001149,0.00004408089,0.00000704214,8.47114e-7,0.000001413997,0.00003363086,0.000001303994,0.0001366427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001749875,"threshold_uncertainty_score":0.005341351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009462779175064315,"score_gpt":0.2227311704374071,"score_spread":0.2132683912623428,"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."}}