{"id":"W4323922889","doi":"10.1016/j.jglr.2023.03.002","title":"Initial insights on the thermal ecology of lake whitefish in northwestern Lake Michigan","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Wisconsin Department of Natural Resources; Great Lakes Fishery Commission","keywords":"Coregonus clupeaformis; Bay; Range (aeronautics); Fishery; Ecology; Habitat; Lake ecosystem; Environmental science; Coregonus; Geography; Fish <Actinopterygii>; Biology; Archaeology","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":[0.0001113642,0.0001856611,0.0001121157,0.0004442806,0.0003821772,0.000242657,0.0001238169,0.0001580564,0.001047177],"category_scores_gemma":[0.0002547182,0.0001223307,0.0001323374,0.0003865549,0.0001921157,0.0002863196,0.0003536061,0.0001398766,0.0001101094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354723,"about_ca_system_score_gemma":0.0002032203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575153,"about_ca_topic_score_gemma":0.09558069,"domain_scores_codex":[0.9999431,0.000007046473,0.000005358609,0.00001552506,0.00001497335,0.00001393803],"domain_scores_gemma":[0.9998676,0.0000132276,0.00005700561,0.000005393183,0.00002862434,0.00002816471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005939211,0.00001586616,0.9796253,0.00001413795,0.00001124329,0.00006941443,0.0006969711,0.00007886642,0.01464483,0.00001785295,0.0001103774,0.004655703],"study_design_scores_gemma":[3.783223e-7,0.00001567082,0.9994224,0.000002108551,0.000002380909,0.00001355871,0.0001912798,0.0000650618,0.0001537824,0.000004081305,0.0001285339,7.771951e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999472,0.00003205594,0.00005331004,0.00001162102,6.021779e-7,0.000001910392,0.00007388883,0.000001532328,0.0003531393],"genre_scores_gemma":[0.999146,0.00007012191,0.0001988085,0.00001919009,0.0000031706,0.000008592127,0.0001956777,0.000001154547,0.0003572241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575153,"threshold_uncertainty_score":0.03131974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0526280894278279,"score_gpt":0.3202851603863198,"score_spread":0.2676570709584919,"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."}}