{"id":"W2529816589","doi":"10.1002/ece3.2506","title":"Multiple generalist morphs of Lake Trout: Avoiding constraints on the evolution of intraspecific divergence?","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Alberta","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Association of Canadian Universities for Research in Astronomy","keywords":"Generalist and specialist species; Pelagic zone; Intraspecific competition; Ecology; Biology; Salvelinus; Trophic level; Ecological niche; Benthic zone; Trout; Foraging; Habitat; Arctic; Fishery; Fish <Actinopterygii>","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":[],"category_scores_codex":[0.0005371277,0.00008231157,0.0001561517,0.00004961143,0.0001854964,0.000001751296,0.0001383623,0.0001043981,0.003764692],"category_scores_gemma":[0.0003341256,0.00005119105,0.0000468732,0.0001305205,0.00145335,0.00008494996,0.00009479369,0.00008113159,0.0001725159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472864,"about_ca_system_score_gemma":0.00001478712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086507,"about_ca_topic_score_gemma":0.004418089,"domain_scores_codex":[0.9990259,0.0002334411,0.0002449813,0.0002057649,0.0001030691,0.0001868556],"domain_scores_gemma":[0.9992381,0.0003760593,0.0001696728,0.0001719349,0.00001626764,0.00002793669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002973412,0.00006134716,0.9069205,0.000002302947,0.00002221696,8.752114e-7,0.0001275054,0.0003000724,0.07614055,0.01487509,0.0009060224,0.0006138265],"study_design_scores_gemma":[0.0002883326,0.0001288364,0.9921296,0.000006940047,0.00002217414,0.000005369914,0.0002166282,0.0007154593,0.002633836,0.0036574,0.000130426,0.00006495701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938369,0.0000164521,0.003085648,0.0005477998,0.0002110564,0.0001331438,0.00001937654,0.000008509468,0.002141099],"genre_scores_gemma":[0.9995323,0.00003081111,0.0001261916,0.00003658948,0.00002841824,0.00001296146,0.000002171624,0.000003750136,0.0002268281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08520918,"threshold_uncertainty_score":0.997146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107978057597993,"score_gpt":0.2024286186964374,"score_spread":0.1913488381204575,"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."}}