{"id":"W6998719323","doi":"","title":"Assessing hydrometeorological controls on subalpine plant community evapotranspiration and evaluating the METRIC method using high-resolution UAV imagery in the Canadian Rocky Mountains","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evapotranspiration; Snowmelt; Vegetation (pathology); Wetland; Hydrology (agriculture); Plant community; Hydrometeorology; Microclimate; Snow","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":[0.0002358914,0.0002601944,0.0001765686,0.0004318289,0.0006643318,0.0004941777,0.0004916145,0.0001645616,0.0003867321],"category_scores_gemma":[0.0005191613,0.0001196095,0.0001479188,0.0004842385,0.0003762206,0.0001931248,0.0001989595,0.0001707116,0.00005483815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005385812,"about_ca_system_score_gemma":0.003430734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558719,"about_ca_topic_score_gemma":0.9778877,"domain_scores_codex":[0.99984,0.00001042582,0.000003482128,0.0000371547,0.00006796054,0.0000410051],"domain_scores_gemma":[0.9997012,0.00003782334,0.00003943243,0.00001215822,0.0001514407,0.00005786123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004031149,0.000186185,0.8698101,0.00009666367,0.0001237455,0.0002398672,0.001019128,0.01962823,0.05414047,0.0003910855,0.001103097,0.05285831],"study_design_scores_gemma":[0.000004678336,0.00001421437,0.9831087,0.000003897748,0.00001183331,0.00001302353,0.0002948109,0.01503207,0.001174474,0.00001906079,0.0003144426,0.000008739808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985929,0.00005250128,0.0003530156,0.00002128855,0.000001344365,0.00001334642,0.0002245947,0.00001815775,0.0007228116],"genre_scores_gemma":[0.9986473,0.00005254557,0.0007748162,0.000009187065,8.751528e-7,0.000006965563,0.000218156,0.000004304984,0.0002859872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04412806,"threshold_uncertainty_score":0.08877581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472830525353225,"score_gpt":0.2724411873047191,"score_spread":0.2377128820511868,"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."}}