{"id":"W2052119797","doi":"10.1111/fwb.12139","title":"Identification of the maternal source of young‐of‐the‐year Arctic charr in Lake Hazen, Canada","year":2013,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Waterloo","funders":"Parks Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Trophic level; Salvelinus; Arctic; Biology; Assortative mating; Ecology; Population; Offspring; Zoology; Mating; Fishery; Fish <Actinopterygii>; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001635308,0.000060431,0.0001423041,0.00002254007,0.0000242945,0.000002148603,0.0004963475,0.00005768508,0.002020227],"category_scores_gemma":[0.00004111109,0.0000351577,0.00004236226,0.0001293801,0.0003545998,0.00002944842,0.0002337089,0.00007000694,0.00004502472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006549276,"about_ca_system_score_gemma":0.00001976347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.387016,"about_ca_topic_score_gemma":0.9469863,"domain_scores_codex":[0.9991276,0.0001441484,0.0003422013,0.0001344281,0.00009726739,0.0001543242],"domain_scores_gemma":[0.9993888,0.00002171233,0.0002226815,0.0003375534,0.00001570972,0.00001355816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002068879,0.00001378896,0.8938472,0.000005426485,0.000008846487,1.162942e-7,0.00009403453,0.0002193046,0.1051426,0.00004139878,0.0005270862,0.0000980292],"study_design_scores_gemma":[0.00008645615,0.00001163891,0.897977,0.000004641422,0.00000770337,0.000002233815,0.00003194196,0.0002869785,0.09855611,0.0005876664,0.002410742,0.0000369077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988632,0.000005443821,0.00002140353,0.0004519697,0.0002371324,0.0001724742,0.00002617922,0.000001524047,0.0002206683],"genre_scores_gemma":[0.9986254,0.000002080377,0.00003920884,0.0001152016,0.000009481299,0.00002046455,0.000003398786,0.000004353786,0.00118039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5599703,"threshold_uncertainty_score":0.9988921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003686984194692784,"score_gpt":0.179951848730398,"score_spread":0.1762648645357053,"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."}}