{"id":"W2097657807","doi":"10.1111/gcb.12640","title":"Latent heat exchange in the boreal and arctic biomes","year":2014,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University; Natural Resources Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; National Aeronautics and Space Administration; BIOCAP Canada; National Science Foundation","keywords":"Tundra; Environmental science; Vapour Pressure Deficit; Eddy covariance; Wetland; Ecosystem; Ecosystem respiration; Taiga; Atmospheric sciences; Biome; Latent heat; Ecology; Vegetation (pathology); Boreal; Geography; Transpiration; Biology; Geology; Meteorology; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004067394,0.0002342352,0.0001654714,0.0001923071,0.0002485486,0.0005725509,0.0001409387,0.0001721776,0.0002457614],"category_scores_gemma":[0.0005331016,0.0001350038,0.0002649763,0.0002561786,0.0001634631,0.0004147506,0.0002079541,0.0001003669,0.00003555249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676729,"about_ca_system_score_gemma":0.0002234786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483693,"about_ca_topic_score_gemma":0.02626836,"domain_scores_codex":[0.9999027,0.00003208796,0.000006657075,0.00002881675,0.0000141948,0.00001546639],"domain_scores_gemma":[0.9998808,0.00003831346,0.00003041618,0.00001586707,0.00002043149,0.00001429394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004470455,0.00006978896,0.8671507,0.00007242495,0.0002719348,0.0001416068,0.0003793201,0.09280685,0.01573927,0.001104084,0.0003718613,0.02144514],"study_design_scores_gemma":[0.00002437787,0.00006570723,0.9186367,0.00001175068,0.00004513602,0.00009544131,0.0001964424,0.07794674,0.00116583,0.0004381516,0.00135328,0.00002036338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983645,0.0002096384,0.0006625658,0.00001638775,0.000004860447,0.000001688854,0.0001449838,0.00001580434,0.0005795824],"genre_scores_gemma":[0.9994183,0.00004995282,0.0002779481,0.000004416116,0.000002257033,0.000002096652,0.0001709115,0.000003233624,0.00007102903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02483693,"threshold_uncertainty_score":0.04938471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780668674909669,"score_gpt":0.2308980996235611,"score_spread":0.2130914128744645,"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."}}