{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000626127,0.0001707685,0.0009723102,0.00001574827,0.00004668122,0.000009205897,0.000390271,0.0002539353,0.0002393339],"category_scores_gemma":[0.0002959828,0.00006829893,0.0002324819,0.0001398723,0.0004214039,0.0000347921,0.00023664,0.0004640094,0.00001215712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005182742,"about_ca_system_score_gemma":0.00002560216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002817018,"about_ca_topic_score_gemma":0.00005092831,"domain_scores_codex":[0.9980337,0.0007124469,0.0007892601,0.0002042194,0.00007881914,0.0001815413],"domain_scores_gemma":[0.9987075,0.0005649668,0.0005216782,0.000111691,0.00001448893,0.00007972208],"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":[0.0001678299,0.0005589144,0.004665751,0.001333948,0.0003121092,0.00003937094,0.0001089742,0.00002570858,0.1482531,0.0002732627,0.005915842,0.8383452],"study_design_scores_gemma":[0.0001572976,0.0004076776,0.003407702,0.0003057483,0.00006260028,0.0000407499,0.000008781929,0.00003551059,0.00005883458,0.001584864,0.9937763,0.0001539291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4203331,0.5764435,0.000009768436,0.001482828,0.0003779181,0.0006538741,0.0002405688,0.00001070434,0.0004477815],"genre_scores_gemma":[0.1042444,0.8953708,0.00008158554,0.0001121803,0.0001499886,0.000009865991,0.0000149395,0.000005204781,0.00001095526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9878604,"threshold_uncertainty_score":0.278515,"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."}}