{"id":"W2885649812","doi":"10.1007/s10530-018-1806-0","title":"Introduced European smelt (Osmerus eperlanus) affects food web and fish community in a large Norwegian lake","year":2018,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Norges Forskningsråd","keywords":"Smelt; Pelagic zone; Biology; Trophic level; Food web; Coregonus; Ecology; Fishery; Salvelinus; Forage fish; Salmo; Trout; Brown trout; Benthic zone; Coregonus clupeaformis; Predation; Apex predator; 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":[0.0003447219,0.0003058005,0.0002898274,0.0005381423,0.0009779196,0.0005913258,0.0003368248,0.0004544127,0.001500343],"category_scores_gemma":[0.0005749437,0.0002957566,0.000285479,0.0003496704,0.0009638839,0.0005486939,0.001052225,0.0003933449,0.0001458747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606001,"about_ca_system_score_gemma":0.0007872303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05632322,"about_ca_topic_score_gemma":0.2260679,"domain_scores_codex":[0.9997774,0.00005067107,0.000009820787,0.0000543043,0.0000381715,0.00006970237],"domain_scores_gemma":[0.9995548,0.000058548,0.0001163225,0.00001685341,0.00005143176,0.0002019564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001467501,0.00102366,0.9430061,0.00003895387,0.0001354395,0.00102013,0.004634066,0.0004178098,0.0440889,0.0001104769,0.0003936992,0.003663165],"study_design_scores_gemma":[0.000007133785,0.0001911218,0.9979522,0.000002304621,0.00001682416,0.00005466719,0.001157172,0.0002991029,0.0002098842,0.00001556001,0.00008887606,0.000005235306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999114,0.000003387197,0.000008639488,0.000004941154,4.226568e-7,8.317357e-7,0.000007393735,0.000001041954,0.00006168705],"genre_scores_gemma":[0.9995728,0.000007592213,0.00004510633,0.00001228627,6.101198e-7,0.000004290734,0.00003007875,0.000001626708,0.0003256476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05632322,"threshold_uncertainty_score":0.1119908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08655837143024914,"score_gpt":0.2406639662939202,"score_spread":0.1541055948636711,"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."}}