{"id":"W2106898094","doi":"10.1111/eff.12206","title":"Competitive effects between rainbow trout and Atlantic salmon in natural and artificial streams","year":2014,"lang":"en","type":"article","venue":"Ecology Of Freshwater Fish","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry; Université du Québec à Montréal; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Federation of Anglers and Hunters; Ontario Ministry of Natural Resources and Forestry","keywords":"Salmo; Rainbow trout; Intraspecific competition; Biology; Ecology; Competition (biology); Habitat; STREAMS; Population; Fishery; Interspecific competition; Introduced species; Allopatric speciation; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048075,0.000198395,0.0002142981,0.0002041798,0.0005117691,0.0006362167,0.0003329282,0.0001854065,0.0007056994],"category_scores_gemma":[0.0008718665,0.0001294024,0.0001537707,0.0001655055,0.0005478815,0.0002230265,0.0004484045,0.0002230112,0.00004213183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148136,"about_ca_system_score_gemma":0.000926594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0322117,"about_ca_topic_score_gemma":0.1586286,"domain_scores_codex":[0.999524,0.0001769264,0.00003903061,0.00007510135,0.0001081692,0.00007671124],"domain_scores_gemma":[0.9991797,0.0001917756,0.000210258,0.00003570889,0.0001891226,0.0001935143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003525523,0.001141106,0.7304905,0.00009878878,0.0001757198,0.0002305711,0.001041973,0.001958991,0.2541134,0.0003046984,0.0001656867,0.006752962],"study_design_scores_gemma":[0.00008660227,0.004181471,0.9736807,0.00001268865,0.00006899703,0.00008958868,0.001606187,0.006227619,0.01340614,0.00009268986,0.0005261088,0.00002112897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999917,0.000005525297,0.0000223577,0.000002224312,6.585396e-7,0.000002003899,0.000005867104,3.666555e-7,0.00004388309],"genre_scores_gemma":[0.9995809,0.000009523028,0.000211679,0.000007541501,0.000001311364,0.00001026201,0.00003961229,7.265858e-7,0.000138497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0322117,"threshold_uncertainty_score":0.06404841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004703359599548379,"score_gpt":0.1959073463738636,"score_spread":0.1912039867743152,"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."}}