{"id":"W2168416179","doi":"10.1002/hyp.10549","title":"Age effects on the water‐use efficiency and water‐use dynamics of temperate pine plantation forests","year":2015,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evapotranspiration; Environmental science; Eddy covariance; Thinning; Temperate climate; Water-use efficiency; Growing season; Water use; Water balance; Transpiration; Temperate rainforest; Canopy; Precipitation; Hydrology (agriculture); Forestry; Ecosystem; Agronomy; Ecology; Geography; Botany; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003101193,0.00019922,0.000131993,0.0004384671,0.0003285711,0.0004295048,0.0001802207,0.00009972099,0.0006671866],"category_scores_gemma":[0.0004018536,0.00009052367,0.0001767244,0.0004869133,0.0002081608,0.0002902143,0.0002063556,0.0001080016,0.0001061166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598117,"about_ca_system_score_gemma":0.0006907682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.255225,"about_ca_topic_score_gemma":0.6362942,"domain_scores_codex":[0.9998751,0.00001169808,0.000008138143,0.00003757506,0.00002960084,0.0000379987],"domain_scores_gemma":[0.9995216,0.0000430947,0.000155228,0.00002790928,0.0001519677,0.0001002576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001163961,0.00001589715,0.9894371,0.00001514528,0.00004119064,0.00007554336,0.0004206655,0.0002467385,0.005154018,0.00002799143,0.0001182786,0.00433103],"study_design_scores_gemma":[2.697424e-7,0.000003643496,0.9997243,6.88305e-7,0.000002186553,0.000008024505,0.00005871708,0.00004824411,0.00004280677,0.000002624201,0.0001074589,8.594465e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999257,0.00009517587,0.00005413868,0.000004808345,0.000001164067,0.000002719235,0.0002711673,0.000002647427,0.0003111431],"genre_scores_gemma":[0.9992393,0.00006604617,0.0000689094,0.000005148047,0.000002171094,0.000003268586,0.0003176033,0.000001767351,0.0002957605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.255225,"threshold_uncertainty_score":0.5074788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712916695415737,"score_gpt":0.2103786131484177,"score_spread":0.1932494461942603,"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."}}