{"id":"W2784754224","doi":"10.1139/cjfr-2017-0385","title":"Estimating shallow soil available water supply for Douglas-fir forests of the coastal Pacific Northwest: climate change impacts","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northwest Advanced Renewables Alliance; University of Washington","keywords":"Climate change; Environmental science; Precipitation; Water supply; Water content; Hydrology (agriculture); Physical geography; Climatology; Oceanography; Geography; Geology; Meteorology; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002978321,0.000259243,0.0001676823,0.0004703016,0.0003002846,0.0003481939,0.0002323964,0.0001729183,0.0003379762],"category_scores_gemma":[0.000630989,0.0001539922,0.000214956,0.0005844326,0.0001202366,0.0003335896,0.0001963288,0.0001820148,0.00006393392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025972,"about_ca_system_score_gemma":0.0009307819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2888679,"about_ca_topic_score_gemma":0.5782904,"domain_scores_codex":[0.9999239,0.00001063017,0.000006135676,0.00002356809,0.00002371867,0.00001201151],"domain_scores_gemma":[0.9997324,0.00005603937,0.00006479421,0.00001983903,0.00006809075,0.00005877762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005398777,0.00004377532,0.986418,0.00001511979,0.00003841018,0.0000335233,0.00005809866,0.004635331,0.002563743,0.0000209316,0.00006007552,0.006058977],"study_design_scores_gemma":[0.000003587313,0.00001989686,0.9848953,0.000004007088,0.00001522209,0.00002033115,0.0001796977,0.01375919,0.0009016491,0.0000371266,0.0001589209,0.00000486029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991529,0.00002878553,0.0003088615,0.000007591702,6.218908e-7,0.000004064925,0.0003417117,0.000004804406,0.0001506779],"genre_scores_gemma":[0.998049,0.00005546677,0.001047351,0.000003089298,7.320294e-7,0.000005621496,0.0007096596,0.000002060119,0.0001269059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2888679,"threshold_uncertainty_score":0.574373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334777065962848,"score_gpt":0.2683186152924207,"score_spread":0.2348409086961359,"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."}}