{"id":"W2886921360","doi":"10.3389/fpls.2018.01144","title":"Modeled Tracheidograms Disclose Drought Influence on Pinus sylvestris Tree-Rings Structure From Siberian Forest-Steppe","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Studium Loire Valley-Institute for Advanced Studies; Russian Science Foundation; Russian Foundation for Basic Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Xylem; Drought stress; Steppe; Dendrochronology; Pinus <genus>; Climate change; Environmental science; Growing season; Dendroclimatology; Annual growth %; Tree (set theory); Agroforestry; Atmospheric sciences; Ecology; Biology; Agronomy; Botany; Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001142715,0.0002756,0.000133055,0.0001737736,0.0001842104,0.0002419155,0.0002686539,0.0003327187,0.0008548134],"category_scores_gemma":[0.0002416038,0.0001276171,0.0002584792,0.0001468466,0.0001598584,0.0002156955,0.0001569461,0.0001609721,0.00008032204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616418,"about_ca_system_score_gemma":0.0002276555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140569,"about_ca_topic_score_gemma":0.01010523,"domain_scores_codex":[0.9999669,0.000007563186,0.000002059674,0.00001208147,0.000003945921,0.00000750181],"domain_scores_gemma":[0.9999275,0.00003025291,0.000009989632,0.000008831715,0.00001130452,0.00001205086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001325734,0.00008779461,0.0566531,0.00006325285,0.00005709778,0.0002559609,0.0001022554,0.9160524,0.02149038,0.0006207225,0.0002901587,0.004194276],"study_design_scores_gemma":[0.00001626256,0.00005355998,0.05901362,0.000005162839,0.00001898116,0.0000448674,0.00005495922,0.9383215,0.002020458,0.0002372144,0.0001995177,0.00001382866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981688,0.00002984684,0.001013678,0.00001533327,0.000003516587,0.000003624404,0.0002190553,0.00003183664,0.0005141646],"genre_scores_gemma":[0.999559,0.00001227101,0.0001893076,0.000002539093,6.174474e-7,0.000002670154,0.0001456761,0.000003773745,0.00008421336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140569,"threshold_uncertainty_score":0.02267855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009195358638501107,"score_gpt":0.2124061766035955,"score_spread":0.2032108179650944,"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."}}