{"id":"W2956649363","doi":"10.1111/mec.15175","title":"Variable hybridization outcomes in trout are predicted by historical fish stocking and environmental context","year":2019,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institute of General Medical Sciences; U.S. Fish and Wildlife Service; University of Wyoming; U.S. Forest Service; National Science Foundation","keywords":"Biology; Stocking; Trout; Hybrid; Rainbow trout; Ecology; Reproductive isolation; Context (archaeology); Brown trout; Range (aeronautics); Evolutionary biology; Zoology; Fishery; Population; Fish <Actinopterygii>; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000108128,0.0001145314,0.0002225767,0.0000359983,0.00006596082,0.000006341111,0.00009577634,0.0000929525,0.001150202],"category_scores_gemma":[0.00004239186,0.000119711,0.00001946709,0.00006334926,0.00007730931,0.00008967484,0.0002557918,0.0001027532,0.00007159927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004629096,"about_ca_system_score_gemma":0.000002471824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007287977,"about_ca_topic_score_gemma":0.0009821433,"domain_scores_codex":[0.9991046,0.00007973458,0.0001642643,0.0003206258,0.0000894492,0.0002413602],"domain_scores_gemma":[0.9997163,0.0000510146,0.00007514542,0.000122274,0.000001259323,0.00003395953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000998718,0.0001164074,0.9790676,0.000004514213,0.00002291497,0.00001737812,0.00006036181,0.0002186825,0.001010542,0.00007360936,0.01930774,0.00009030134],"study_design_scores_gemma":[0.0008120531,0.0001216726,0.9816281,0.000002219901,0.00001649903,0.000002641702,0.00009649119,0.0006132585,0.00009471563,0.0001989857,0.01628475,0.0001285925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952286,0.00001950447,0.0005344898,0.00123485,0.0001798818,0.000369181,0.00001647887,0.00002297786,0.002394064],"genre_scores_gemma":[0.9940233,0.00001587058,0.0001318189,0.003140961,0.000002994881,0.00004796913,0.00003643762,0.000009971564,0.002590719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003022987,"threshold_uncertainty_score":0.9997629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002514955993781455,"score_gpt":0.1625560885703964,"score_spread":0.160041132576615,"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."}}