{"id":"W3172697043","doi":"10.1038/s41586-021-03565-5","title":"Global prevalence of non-perennial rivers and streams","year":2021,"lang":"en","type":"article","venue":"Nature","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":585,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"Agence Nationale de la Recherche","keywords":"Biome; Perennial stream; STREAMS; Biodiversity; Perennial plant; Environmental science; Hydrology (agriculture); Biogeochemical cycle; Ecosystem; Geography; Ecology; Geology","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":[0.0004749002,0.0001684284,0.0001750105,0.001062057,0.0002000932,0.0005620423,0.0002367163,0.0002759492,0.003242779],"category_scores_gemma":[0.001138172,0.0001615416,0.0002631929,0.00139489,0.0003080219,0.0007269398,0.0004365277,0.0002697388,0.0002276149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688223,"about_ca_system_score_gemma":0.0002069121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005651515,"about_ca_topic_score_gemma":0.0139077,"domain_scores_codex":[0.9997702,0.00004717565,0.00003033198,0.00008065481,0.00003239059,0.00003911532],"domain_scores_gemma":[0.9985044,0.0002281124,0.0007443433,0.0001376831,0.0002248186,0.0001606358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003095083,0.00000510299,0.9924814,0.0000437463,0.0000522414,0.00002095598,0.000221592,0.00004448812,0.0005610649,0.0001223577,0.0002395314,0.006176601],"study_design_scores_gemma":[3.903167e-7,0.000008681307,0.9989814,0.000008895436,0.00001337802,0.000111697,0.0002521624,0.00003567137,0.0000357125,0.00004346017,0.0005070795,0.000001530001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925177,0.001514916,0.0003146619,0.0001906036,0.00001638933,0.000005969991,0.002255311,0.00002289772,0.003161443],"genre_scores_gemma":[0.9971199,0.0009289548,0.0002176593,0.00003884553,0.00001366911,0.000004733392,0.0009477873,0.000004473979,0.0007239542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005651515,"threshold_uncertainty_score":0.0112372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002838937750715694,"score_gpt":0.2186765707833137,"score_spread":0.215837633032598,"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."}}