{"id":"W6998828616","doi":"","title":"Assessing hydrological sensitivity to future climate change in the Canadian southern boreal forest","year":2023,"lang":"en","type":"other","venue":"University Library (University of Saskatchewan)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Sensitivity (control systems); Taiga; Climate sensitivity; Boreal; Forest cover; Precipitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005523686,0.0003775335,0.0002309185,0.001189777,0.001525482,0.001392138,0.0007771694,0.0003385498,0.003458804],"category_scores_gemma":[0.001890136,0.0002060463,0.0003460429,0.00216911,0.000345553,0.0003950608,0.0005443608,0.0003015774,0.0003161562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02322011,"about_ca_system_score_gemma":0.02480187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974069,"about_ca_topic_score_gemma":0.999267,"domain_scores_codex":[0.9997595,0.00002200788,0.000009251831,0.00002448025,0.0001193569,0.00006547015],"domain_scores_gemma":[0.9993331,0.00009072013,0.00004623683,0.00002456906,0.0003935166,0.0001119215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003742078,0.000256201,0.669006,0.0002372963,0.0003657078,0.0005117278,0.0009772916,0.1342612,0.004126475,0.002185969,0.03229534,0.1554025],"study_design_scores_gemma":[0.00007882184,0.00003797085,0.9030854,0.00005717707,0.0001118489,0.00006396209,0.002170476,0.07689361,0.001409819,0.000839924,0.01516421,0.00008676475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508196,0.0006464394,0.001278595,0.0009937157,0.00002031937,0.0001431529,0.01385035,0.0002727313,0.03197514],"genre_scores_gemma":[0.9804634,0.000716317,0.00335241,0.0001180713,0.000007981329,0.00003510134,0.00549048,0.00005228559,0.00976395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02322011,"threshold_uncertainty_score":0.1684744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009200384937773377,"score_gpt":0.169904202490091,"score_spread":0.1607038175523177,"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."}}