{"id":"W2188127649","doi":"","title":"Lake and Reservoir Food Web Ecology","year":2012,"lang":"en","type":"article","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pike; Esox; Stocking; Forage fish; Food web; Fishery; Predation; Environmental science; Trout; Population; Bioenergetics; Mercury (programming language); Ecology; Trophic level; Biology; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001794176,0.0001327386,0.0002597448,0.001035878,0.0007620807,0.000787227,0.0004763526,0.0002587279,0.009718264],"category_scores_gemma":[0.0005908247,0.0002073059,0.0002183657,0.001275544,0.0002425337,0.0006560758,0.001041849,0.0001545092,0.001037824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008730961,"about_ca_system_score_gemma":0.0007375199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938569,"about_ca_topic_score_gemma":0.08594242,"domain_scores_codex":[0.9998316,0.00002338882,0.0000151381,0.00004014023,0.00005159143,0.00003812728],"domain_scores_gemma":[0.9997404,0.0000276555,0.00007370708,0.00001564404,0.00007292664,0.00006967899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003728686,0.0002017275,0.8285398,0.0005824275,0.0002557246,0.0007684235,0.001359012,0.005499028,0.04915662,0.003675054,0.005710839,0.1038785],"study_design_scores_gemma":[0.0000137808,0.0001204648,0.9786109,0.00003062337,0.00005795666,0.0002442257,0.000615469,0.007946328,0.001633712,0.0004597105,0.01023815,0.00002856978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723846,0.0003176062,0.001353069,0.000145087,0.00001010768,0.0000559021,0.002119769,0.0002361897,0.02337774],"genre_scores_gemma":[0.9930474,0.0001016259,0.001651809,0.00002833314,0.000002723609,0.00002789524,0.0006774403,0.00004088616,0.004421889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01938569,"threshold_uncertainty_score":0.03854573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233425378011558,"score_gpt":0.2101514868897262,"score_spread":0.1978172331096106,"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."}}