{"id":"W2566018023","doi":"","title":"How does hybridization affect multiple metrics of fitness in fragmented populations of brook trout under moderate climate warming","year":2016,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Salvelinus; Biology; Population; Ecology; Trout; Climate change; Zoology; Demography; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006379246,0.0001485936,0.0002437864,0.000344499,0.0003856737,0.0005108597,0.0002577745,0.0002788047,0.0004060107],"category_scores_gemma":[0.001122025,0.0001295598,0.0002301172,0.0002282926,0.0007167708,0.0003502686,0.0006091087,0.0003317246,0.00003904723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191611,"about_ca_system_score_gemma":0.0002235777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004781449,"about_ca_topic_score_gemma":0.01368529,"domain_scores_codex":[0.9997084,0.00008916375,0.00001901274,0.0001063269,0.00003730556,0.00003980878],"domain_scores_gemma":[0.9994217,0.0001702725,0.0001951938,0.0000619135,0.00005501095,0.00009592333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000670807,0.000183973,0.8408644,0.00002026425,0.000321168,0.0001407782,0.001580554,0.001731993,0.1497523,0.0003088235,0.0000548875,0.004369952],"study_design_scores_gemma":[0.00000542184,0.00024224,0.9973144,0.000001475718,0.00003088572,0.00003547958,0.0004317716,0.000894199,0.0009135463,0.0000802768,0.00004307021,0.000007228613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999167,0.000005302411,0.00003109347,0.000002587906,2.534841e-7,5.122761e-7,0.000004624392,4.811218e-7,0.00003842285],"genre_scores_gemma":[0.9998909,0.000003759195,0.00004132188,0.000006357113,5.754772e-7,0.000002069503,0.00001741172,8.432299e-7,0.00003666303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004781449,"threshold_uncertainty_score":0.009507239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672046157419924,"score_gpt":0.2708274718893054,"score_spread":0.2441070103151061,"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."}}