{"id":"W2784645216","doi":"10.1139/cjfas-2017-0145","title":"Does behavioural thermoregulation underlie seasonal movements in Lake Erie walleye?","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ministry of Natural Resources and Forestry; University of Windsor","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; Ministry of Natural Resources; Michigan Department of Natural Resources; Ontario Ministry of Natural Resources and Forestry; Great Lakes Fishery Commission","keywords":"Structural basin; Thermoregulation; Foraging; Range (aeronautics); Ecology; Fish <Actinopterygii>; Biology; Sander; Fishery; Geography; Oceanography; Geology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001475194,0.000124908,0.0001914541,0.0003392872,0.0001651043,0.0002922057,0.0001269557,0.0002642429,0.0009324721],"category_scores_gemma":[0.0004781931,0.000148778,0.0001726257,0.0002759626,0.0002606848,0.0002629937,0.000269484,0.0001400647,0.0001298263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002330272,"about_ca_system_score_gemma":0.0001853416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157825,"about_ca_topic_score_gemma":0.0469979,"domain_scores_codex":[0.9999335,0.000008257336,0.000006788531,0.00001995774,0.000007301237,0.00002429052],"domain_scores_gemma":[0.9998341,0.00002180233,0.00009233654,0.00001135645,0.00001559049,0.00002471819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001524866,0.00002402091,0.9838615,0.00001811021,0.00004132719,0.00007935778,0.0004001768,0.00007600175,0.01176833,0.00002468505,0.00006435973,0.003489532],"study_design_scores_gemma":[3.274024e-7,0.0000082019,0.99979,9.814765e-7,0.000002162848,0.00001035271,0.00006812657,0.00004798815,0.00004246234,0.000006177972,0.00002241919,7.743775e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996884,0.00004506786,0.00003497185,0.00001239071,0.000001136384,0.000001059526,0.00004198015,0.000001992891,0.0001729456],"genre_scores_gemma":[0.9997162,0.00002662724,0.00004966504,0.0000114705,0.000001694757,0.000002202934,0.00006406541,0.000001448616,0.0001266276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01157825,"threshold_uncertainty_score":0.0230217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791700142845332,"score_gpt":0.2150308669015395,"score_spread":0.1971138654730862,"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."}}