{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002279468,0.0001065827,0.0002694154,0.00004724919,0.00008229256,0.000006475492,0.00007883117,0.00008225237,0.0001406922],"category_scores_gemma":[0.00006471868,0.0000938688,0.00001619721,0.00004729308,0.0005517518,0.00007860186,0.0002488761,0.0001151078,0.0000196055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002291488,"about_ca_system_score_gemma":0.000001251311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634011,"about_ca_topic_score_gemma":0.06942605,"domain_scores_codex":[0.9991906,0.0001217804,0.0001571229,0.0002441872,0.00005547757,0.0002308758],"domain_scores_gemma":[0.9995306,0.0003054343,0.0000552532,0.00007524854,0.000003002827,0.00003044606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001847589,0.00003151638,0.9946921,0.00002407644,0.00002532255,0.000007917541,0.0003114845,0.000003406243,0.0001604455,0.0003954877,0.003181553,0.001148212],"study_design_scores_gemma":[0.0004921004,0.0002214531,0.9949594,0.000009015168,0.00002409485,0.0000015048,0.00006781685,0.0001129394,0.0005200862,0.001463393,0.002032304,0.00009589743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949908,0.000004532678,0.000003491646,0.001658735,0.0001338138,0.0002036699,0.000005171889,0.000013034,0.002986799],"genre_scores_gemma":[0.9991052,0.00001137171,0.0001779585,0.0004892786,0.00003301136,0.0000141332,0.00001260113,0.000004942479,0.0001515354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06926265,"threshold_uncertainty_score":0.9475545,"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."}}