{"id":"W4313225628","doi":"10.1002/hyp.14789","title":"Below canopy evapotranspiration in four different variable retention harvesting treatments in a red pine plantation forest","year":2022,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; McMaster University; Ontario Forest Research Institute; McMaster University Medical Centre","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Understory; Canopy; Environmental science; Evapotranspiration; Transpiration; Canopy interception; Water-use efficiency; Canopy conductance; Abiotic component; Vegetation (pathology); Eddy covariance; Agronomy; Growing season; Forestry; Soil water; Vapour Pressure Deficit; Hydrology (agriculture); Ecology; Botany; Biology; Ecosystem; Irrigation; Photosynthesis; Soil science; Geography; Throughfall","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001871651,0.0001104511,0.0001270088,0.0000663519,0.0001378573,0.00002152747,0.0001077772,0.00005196015,0.0003165656],"category_scores_gemma":[0.00004955785,0.00009231926,0.00001629617,0.0004528678,0.0000270612,0.0002051319,0.00006290712,0.0001584575,0.000006199046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708733,"about_ca_system_score_gemma":0.00001326527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006521246,"about_ca_topic_score_gemma":0.003191112,"domain_scores_codex":[0.998929,0.0000959883,0.0002491676,0.0002863003,0.0002276819,0.0002118581],"domain_scores_gemma":[0.9997628,0.0000489098,0.0000784467,0.00007242807,0.000004132041,0.00003328494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008206382,0.0001659948,0.5045078,0.00001578838,0.000002749181,0.00002855157,0.00009710403,0.4907906,0.003879055,0.00004991085,0.000003483139,0.0003768849],"study_design_scores_gemma":[0.001295926,0.0005121258,0.5021518,0.00002878159,0.00002133349,0.00003591523,0.00001520983,0.4863698,0.0001779243,0.008905973,0.0002595724,0.0002257068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969694,0.00002073688,0.0006589105,0.0001542702,0.00003293979,0.0002850549,0.00002198179,0.00003362577,0.001823056],"genre_scores_gemma":[0.9988354,0.00002439134,0.0002734522,0.00007343971,0.000006644983,0.0002321157,0.0002655174,0.000006257855,0.000282736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008856063,"threshold_uncertainty_score":0.376467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130080421792658,"score_gpt":0.2104276188053757,"score_spread":0.1891268145874492,"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."}}