{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001986282,0.00007357978,0.0001027411,0.00002434231,0.0002297018,0.00001058914,0.0002127307,0.00002813249,0.00316887],"category_scores_gemma":[0.00002122181,0.00005494991,0.00003126893,0.0001796246,0.0001204963,0.00005306023,0.0002789957,0.0001264714,0.002528823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859437,"about_ca_system_score_gemma":0.000002780968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002104481,"about_ca_topic_score_gemma":0.001490813,"domain_scores_codex":[0.9992104,0.00004170096,0.0002221527,0.0002376229,0.00008875776,0.0001993827],"domain_scores_gemma":[0.9994618,0.0002018787,0.00006971495,0.0002271596,0.000003619278,0.00003576896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001956301,0.0005186299,0.9433843,0.000003479845,0.00002080571,7.028214e-7,0.0002517939,0.01669227,0.003578197,0.02653945,0.002169894,0.006820918],"study_design_scores_gemma":[0.00007594477,0.00005383103,0.8675503,0.000001959043,0.000005711903,4.109685e-7,0.0003614337,0.0003065003,0.0001578333,0.008104882,0.1233161,0.00006504668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540999,0.00002507235,0.0007938,0.003543739,0.00006160244,0.001230851,0.000003087012,0.00002735234,0.04021463],"genre_scores_gemma":[0.9973212,0.00006492828,0.0005693225,0.0002285223,0.00001351097,0.00121585,0.000003510975,0.000004125699,0.0005789953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211462,"threshold_uncertainty_score":0.9982478,"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."}}