{"id":"W2146464129","doi":"10.1111/j.1095-8649.2010.02804.x","title":"Physiological correlates of seasonal growth patterns in lake trout <i>Salvelinus namaycush</i>","year":2010,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institut National de la Recherche Scientifique; Ministry of Natural Resources and Forestry; Western University","funders":"","keywords":"Salvelinus; Trout; Biology; Foraging; Ecology; Zooplankton; Lactate dehydrogenase; Fishery; Zoology; Animal science; Fish <Actinopterygii>; Biochemistry; Enzyme","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":[0.0001105678,0.000151961,0.0001608912,0.0005199782,0.0002876442,0.0002657829,0.0001050188,0.0001599456,0.0005452397],"category_scores_gemma":[0.0002493635,0.0001499891,0.0001283114,0.0002658169,0.0003369936,0.0001859924,0.0003496999,0.00015957,0.00009175498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005052193,"about_ca_system_score_gemma":0.0002606172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01437568,"about_ca_topic_score_gemma":0.04614259,"domain_scores_codex":[0.9999456,0.000007651986,0.000005136438,0.00001776233,0.00001126539,0.00001243835],"domain_scores_gemma":[0.9997641,0.000016687,0.0001147858,0.000007780316,0.00003983239,0.00005684696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009927079,0.00006650982,0.8155455,0.00004420212,0.00006712038,0.0001625991,0.0008249026,0.0001976397,0.1779175,0.00004329256,0.0001382457,0.003999695],"study_design_scores_gemma":[0.000002185131,0.00003583415,0.999294,5.539785e-7,0.00000309189,0.00001710903,0.00009077898,0.00006835831,0.0004476887,0.00000605972,0.00003276559,0.000001544587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997981,0.00001450615,0.00002108237,0.000005039581,4.134882e-7,0.000001173743,0.00006023911,0.000002154672,0.00009733488],"genre_scores_gemma":[0.9994319,0.00001411265,0.0000758415,0.000008662861,0.000001395851,0.000008625319,0.0002403446,0.000002499934,0.0002164417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01437568,"threshold_uncertainty_score":0.028584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322555719662796,"score_gpt":0.2298198393940457,"score_spread":0.2165942821974177,"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."}}