{"id":"W4403103003","doi":"10.1101/2024.09.27.615445","title":"Multiple stressors in river networks: local and downstream effects on freshwater macroinvertebrates","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Deutsche Forschungsgemeinschaft","keywords":"Downstream (manufacturing); Stressor; Invertebrate; Environmental science; Geography; Ecology; Hydrology (agriculture); Geology; Business; Biology; Geotechnical engineering","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":[0.0003590503,0.0003182461,0.0004968074,0.0003143906,0.0003494516,0.0005352953,0.0002082878,0.0003301773,0.0008107125],"category_scores_gemma":[0.0005765249,0.0001607624,0.0003032312,0.000248515,0.0003112197,0.0004575133,0.0008511924,0.0003445656,0.00005814049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004189093,"about_ca_system_score_gemma":0.0002127887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206252,"about_ca_topic_score_gemma":0.004301236,"domain_scores_codex":[0.9996233,0.0001145793,0.00002615593,0.000123948,0.00005642643,0.00005552312],"domain_scores_gemma":[0.9992514,0.0001378115,0.000219624,0.00003825883,0.00009253416,0.0002602553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002506186,0.001389035,0.5908838,0.0003410264,0.0003952913,0.0003925214,0.0006171267,0.00755803,0.3731151,0.0001927577,0.0002181782,0.022391],"study_design_scores_gemma":[0.00001501487,0.001554571,0.9909931,0.00001262735,0.00005433036,0.0000325378,0.0002987353,0.002511612,0.004170981,0.000102489,0.0002411481,0.00001286003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996524,0.00006290073,0.0001238509,0.000008487048,0.000001736,0.000005465778,0.00004070618,0.000003457545,0.0001009594],"genre_scores_gemma":[0.9995553,0.00004209823,0.0001983298,0.00001191792,0.000002815783,0.00001378623,0.00005496549,0.000001453319,0.0001192329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00206252,"threshold_uncertainty_score":0.004100978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005955038433790367,"score_gpt":0.1920280834180008,"score_spread":0.1860730449842104,"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."}}