{"id":"W4318696273","doi":"10.1007/s10530-023-03003-9","title":"Trait variation in a successful global invader: a large-scale analysis of morphological variance and integration in the brown trout","year":2023,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Institut Polaire Français Paul Emile Victor","keywords":"Biology; Brown trout; Salmo; Population; Ecology; Variation (astronomy); Trait; Genetic variation; Population size; Range (aeronautics); Trout; Phenotypic plasticity; Phenotypic trait; Selection (genetic algorithm); Adaptation (eye); Evolutionary biology; Phenotype; Demography; Fishery; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005182202,0.0001798233,0.0002695729,0.0006464996,0.0004460245,0.0004332351,0.0001826201,0.0002367544,0.0006061398],"category_scores_gemma":[0.0005041908,0.0001461523,0.0003720745,0.0005591455,0.0007550336,0.0002317028,0.0006839732,0.000457936,0.00007624143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004708289,"about_ca_system_score_gemma":0.0002968523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005805223,"about_ca_topic_score_gemma":0.01554593,"domain_scores_codex":[0.9998127,0.0000578117,0.000006605581,0.00005670585,0.00002778522,0.00003853157],"domain_scores_gemma":[0.9997116,0.00008435862,0.00006241522,0.00002702315,0.00003477122,0.00007980312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008932603,0.0001894482,0.7112974,0.00003148864,0.0003923729,0.0002809645,0.001826162,0.002332543,0.2719597,0.0007700718,0.0001479145,0.009878686],"study_design_scores_gemma":[0.000004267783,0.0000521231,0.9981858,0.00000103127,0.00001769471,0.00006011049,0.0002490415,0.0009062816,0.0004013983,0.00006818911,0.00004848664,0.000005592832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998319,0.000005614089,0.0001014306,0.000003079425,2.739502e-7,4.841708e-7,0.000009424128,0.000001740592,0.00004599035],"genre_scores_gemma":[0.9996529,0.000006055118,0.0001410585,0.000004668607,0.000001085592,0.000002220838,0.00004427808,0.00000455938,0.0001432192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005805223,"threshold_uncertainty_score":0.01154286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07631881487860422,"score_gpt":0.2759711886958054,"score_spread":0.1996523738172012,"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."}}