{"id":"W7043103491","doi":"","title":"RESOLVING THE ROLE OF SUBARCTIC VEGETATION ON MOUNTAIN WATER CYCLING IN A RAPIDLY CHANGING CLIMATE","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Water Futures","keywords":"Subarctic climate; Vegetation (pathology); Taiga; Climate change; Evapotranspiration; Mire; Water cycle; Precipitation; Ecosystem; Ecotone","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002224934,0.0001208555,0.0001980489,0.0004330364,0.0006140674,0.0007895766,0.0002295023,0.0001803458,0.0004444132],"category_scores_gemma":[0.0002223633,0.00006794743,0.00009271649,0.0006696025,0.000312648,0.0003056102,0.0002769661,0.0001485372,0.00005839464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109151,"about_ca_system_score_gemma":0.001029329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3725604,"about_ca_topic_score_gemma":0.7391735,"domain_scores_codex":[0.9999393,0.000009841318,0.000002724882,0.0000130914,0.00001000431,0.00002495149],"domain_scores_gemma":[0.999851,0.00002807623,0.00003165359,0.000007852983,0.00004408728,0.00003730544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004057111,0.00001823795,0.9882916,0.00001754234,0.00001923726,0.0001024452,0.0008965179,0.0002569963,0.003869342,0.00004427954,0.00009226483,0.006350916],"study_design_scores_gemma":[4.034559e-7,0.000005508762,0.9987147,0.000002554537,0.000003558539,0.00001178844,0.0008685042,0.0001510036,0.0000764432,0.000007960035,0.0001565228,0.000001052919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995369,0.00008246244,0.00003467409,0.000013861,4.6147e-7,0.000001157193,0.00009227521,0.000001425105,0.0002368406],"genre_scores_gemma":[0.9994065,0.0001656762,0.0001138763,0.00001306951,0.00000155817,0.000001551962,0.0001836735,9.708633e-7,0.0001131839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3725604,"threshold_uncertainty_score":0.7407837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005502381481770628,"score_gpt":0.1827253160780615,"score_spread":0.1772229345962908,"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."}}