{"id":"W6967424976","doi":"10.5061/dryad.xwdbrv1n2","title":"Data from: Forestry impacts on stream flows and temperatures: A quantitative synthesis of paired catchment studies across the Pacific salmon range","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Fisheries and Oceans Canada","funders":"","keywords":"Watershed; Streamflow; Drainage basin; Temperate climate; Hydrology (agriculture); Range (aeronautics); Latitude; Climate change","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":[0.02875328,0.000976036,0.002649872,0.01732283,0.000852656,0.002380493,0.001038405,0.0009727885,0.004213615],"category_scores_gemma":[0.09429695,0.0009102647,0.006754104,0.01853629,0.001050659,0.001732115,0.003922449,0.001073578,0.000371238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278579,"about_ca_system_score_gemma":0.009803867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048637,"about_ca_topic_score_gemma":0.04593727,"domain_scores_codex":[0.9611042,0.01436751,0.0147501,0.004048069,0.005233392,0.0004966705],"domain_scores_gemma":[0.8870142,0.0733861,0.01934528,0.005373049,0.01414134,0.0007400776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001030963,0.0001307448,0.1065961,0.6375303,0.05569803,0.0004538221,0.004528594,0.001544836,0.002316253,0.002048343,0.01195884,0.1761632],"study_design_scores_gemma":[0.0008453392,0.000805554,0.4335704,0.2965125,0.117661,0.0004427943,0.003978424,0.0006173562,0.001923712,0.002213052,0.141163,0.000266844],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.1356342,0.7029461,0.01333875,0.00259389,0.0007084626,0.004967933,0.1311746,0.0001961467,0.008439929],"genre_scores_gemma":[0.6467279,0.2610936,0.02665949,0.00332767,0.000414644,0.01595326,0.04428525,0.0001842939,0.001353998],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02875328,"threshold_uncertainty_score":0.1520637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134313226267332,"score_gpt":0.4116987021601883,"score_spread":0.2773854758928563,"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."}}