{"id":"W3005534625","doi":"10.1002/rra.3570","title":"Characterizing physical habitat preferences and thermal refuge occupancy of brook trout (<scp><i>Salvelinus fontinalis</i></scp>) and Atlantic salmon (<scp><i>Salmo salar</i></scp>) at high river temperatures","year":2020,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atlantic Hydrogen (Canada); University of New Brunswick","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Salmo; Salvelinus; Trout; Fontinalis; Habitat; Tributary; Environmental science; Fishery; Salmonidae; Fish migration; STREAMS; Temperate climate; Hydrology (agriculture); Ecology; Oceanography; Geology; Fish <Actinopterygii>; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002577337,0.0002213111,0.0003202925,0.00006143792,0.0007383459,0.00006758714,0.0002735888,0.00008695709,0.0000144348],"category_scores_gemma":[0.0001263415,0.0001873024,0.00004147023,0.0002974076,0.001831644,0.000287182,0.001044807,0.0003344864,0.00006688762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003299279,"about_ca_system_score_gemma":0.00001173717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336879,"about_ca_topic_score_gemma":0.0001242304,"domain_scores_codex":[0.9980911,0.0001328575,0.000222228,0.0006661383,0.0003820235,0.0005056742],"domain_scores_gemma":[0.9988034,0.0005774113,0.0001039352,0.0002338584,0.00004212401,0.000239244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004363777,0.0003182292,0.8793153,0.0002567667,0.0001481137,0.00001549574,0.004219906,0.000003911036,0.0937741,0.004695258,0.01612788,0.001081435],"study_design_scores_gemma":[0.0005030943,0.0003107828,0.9625854,0.00002376356,0.00004882914,0.000004814565,0.0003185423,0.00008330827,0.004400976,0.001697336,0.02994789,0.00007519887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959806,0.000323867,0.00002836545,0.0007837769,0.00001220936,0.0008125959,0.00006195922,0.00004682746,0.001949784],"genre_scores_gemma":[0.9970811,0.001141304,0.0003172018,0.000331701,0.0001045835,0.000268602,0.00004186653,0.00001823338,0.0006953905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08937313,"threshold_uncertainty_score":0.7637969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386183690645022,"score_gpt":0.272450341571101,"score_spread":0.2485885046646508,"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."}}