{"id":"W3031975063","doi":"10.1016/j.scitotenv.2020.139679","title":"River temperature research and practice: Recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems","year":2020,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Lawrence River Institute of Environmental Sciences; Institut National de la Recherche Scientifique; University of New Brunswick","funders":"","keywords":"Temporal scales; Biogeochemistry; Environmental resource management; Environmental science; Ecosystem; Aquatic ecosystem; Climate change; Adaptive management; Resilience (materials science); Psychological resilience; Biogeochemical cycle; River ecosystem; Ecology; Computer science; Biology","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":[0.003734128,0.0008383823,0.002348463,0.002430725,0.0003643079,0.003120753,0.001403396,0.002415108,0.004121629],"category_scores_gemma":[0.005918782,0.0003839905,0.000786684,0.00566646,0.001142225,0.003602673,0.001771422,0.002461196,0.0008681088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549375,"about_ca_system_score_gemma":0.006580919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006750311,"about_ca_topic_score_gemma":0.01701872,"domain_scores_codex":[0.9990941,0.000250795,0.0001567874,0.0001553522,0.0002763759,0.00006652888],"domain_scores_gemma":[0.99476,0.003662706,0.0005080181,0.00005977915,0.0007791717,0.0002302522],"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":[0.00007366575,0.00004120347,0.0006055423,0.04248108,0.0001579024,0.00005561818,0.0001475581,0.0003267689,0.0002483118,0.004487535,0.02355353,0.9278212],"study_design_scores_gemma":[0.00002814607,0.00008990395,0.003668336,0.04382252,0.0004209434,0.0003360619,0.0005518753,0.0002351021,0.0001163387,0.005451547,0.9452211,0.00005801453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004330896,0.9989084,0.00004997597,0.0006816378,0.0001557697,0.000001343026,0.00001074021,0.00000204543,0.0001468671],"genre_scores_gemma":[0.0004983124,0.998662,0.0001717005,0.0003758641,0.0002011923,0.000003721123,0.00001514497,0.000001071523,0.00007102187],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006750311,"threshold_uncertainty_score":0.01974821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132572358193728,"score_gpt":0.3358028503160909,"score_spread":0.2225456144967181,"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."}}