{"id":"W3114113447","doi":"10.1111/jfb.14655","title":"The physiological ups and downs of thermal variability in temperate freshwater ecosystems","year":2020,"lang":"en","type":"review","venue":"Journal of Fish Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; University of New Brunswick; Mount Allison University","funders":"","keywords":"Temperate climate; Freshwater ecosystem; Biology; Ectotherm; Ecosystem; Ecology; Climate change; Range (aeronautics); Critical thermal maximum; Population; Freshwater fish; Fish <Actinopterygii>; Acclimatization; Fishery","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":[0.0004906937,0.0005902076,0.0009795397,0.001167984,0.0002326706,0.0009936899,0.0005837579,0.0009741794,0.003275692],"category_scores_gemma":[0.0005630422,0.0002287591,0.0004599346,0.001108345,0.0005566746,0.001031528,0.0007890016,0.001157649,0.00135189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421641,"about_ca_system_score_gemma":0.001019272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463327,"about_ca_topic_score_gemma":0.002030297,"domain_scores_codex":[0.9998586,0.00002043456,0.00001970352,0.00004578881,0.00003984542,0.00001567229],"domain_scores_gemma":[0.9997724,0.0001051179,0.00004082837,0.000006825573,0.00005075458,0.00002404699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008183408,0.00003402212,0.0006449543,0.01836695,0.00008678017,0.00009894145,0.0001437307,0.0005034615,0.003484778,0.00294486,0.008289156,0.9653206],"study_design_scores_gemma":[0.00001523636,0.0002488144,0.01807835,0.008509905,0.0002394769,0.001413841,0.0003035598,0.0002135305,0.001610644,0.005884461,0.9634125,0.00006973989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005325982,0.9974251,0.0002215743,0.000368587,0.0001216337,0.000004374195,0.00003436361,0.00001139286,0.001280323],"genre_scores_gemma":[0.002562979,0.9964387,0.0002041142,0.0001343971,0.0001175001,0.000007863898,0.00003450151,0.000002389762,0.000497454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003275692,"threshold_uncertainty_score":0.01095825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460862553125531,"score_gpt":0.2737138665280075,"score_spread":0.2391052409967522,"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."}}