{"id":"W4240618448","doi":"10.1139/f01-061","title":"Spatial and temporal effects of interspecific competition between Atlantic salmon (<i>Salmo salar</i>) and brown trout (<i>Salmo trutta</i>) in winter","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council","keywords":"Salmo; Brown trout; Fishery; Overwintering; Nocturnal; Interspecific competition; Competition (biology); Salmonidae; Sympatry; Biology; Juvenile; Trout; Ecology; Habitat; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002267578,0.0001777009,0.0002269823,0.0001945008,0.0002916825,0.0005251234,0.0002479517,0.0001794605,0.001851122],"category_scores_gemma":[0.0006132673,0.0001929841,0.0001948057,0.0001527058,0.0003953429,0.0002064502,0.0003791264,0.0003097517,0.0001783434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340214,"about_ca_system_score_gemma":0.0005044213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02518036,"about_ca_topic_score_gemma":0.08093638,"domain_scores_codex":[0.9998759,0.00001827427,0.000008395097,0.00002729502,0.00001761485,0.00005250566],"domain_scores_gemma":[0.9992158,0.0001936903,0.0001679762,0.00002708463,0.00007315488,0.0003222587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009307301,0.001286634,0.6817871,0.0001044276,0.0003371278,0.0004764806,0.0009956948,0.002412249,0.2886964,0.0003921685,0.00104436,0.01316001],"study_design_scores_gemma":[0.00002441625,0.0003980051,0.9960906,0.000003730809,0.00003055238,0.00005249192,0.0004015454,0.0009230697,0.001863801,0.00005248697,0.0001504404,0.000008764237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998441,0.0000152169,0.000009229736,0.000005590755,0.000001305457,4.107744e-7,0.00002258479,0.000001400642,0.0001000698],"genre_scores_gemma":[0.999567,0.00001411448,0.0000299086,0.00001326834,0.000001760287,0.00000299988,0.0001129226,0.000003805532,0.0002541764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02518036,"threshold_uncertainty_score":0.0500676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094035778652334,"score_gpt":0.2029556642834045,"score_spread":0.1920153064968811,"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."}}