{"id":"W4308448557","doi":"10.1016/j.scitotenv.2022.159887","title":"Combining conventional tree-ring measurements with wood anatomy and strontium isotope analyses enables dendroprovenancing at the local scale","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de la Culture; Arctic Goose Joint Venture; Université de Genève; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Dendrochronology; Dendroclimatology; Provenance; Spatial ecology; Physical geography; Scale (ratio); Woodland; Quercus robur; Geology; Geography; Ecology; Environmental science; Biology; Paleontology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001386873,0.0001328609,0.0001374514,0.00005046628,0.001836711,0.00005983767,0.0006923546,0.00001115245,0.0006288779],"category_scores_gemma":[0.0000179021,0.00006268548,0.00005779989,0.0002813557,0.001887157,0.0001689728,0.0004484881,0.0001533907,0.00001048077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000765267,"about_ca_system_score_gemma":0.00007295699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007435303,"about_ca_topic_score_gemma":0.0002571695,"domain_scores_codex":[0.9976921,0.000195252,0.0001908753,0.0002972858,0.001275472,0.000348984],"domain_scores_gemma":[0.9992574,0.0001089534,0.0001751472,0.0003823849,0.000008987377,0.00006706212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001948588,0.00005004503,0.04979447,0.00001179559,0.0000570158,0.000002918047,0.0005988694,0.9301256,0.01519407,0.00003729506,0.00002148737,0.003911592],"study_design_scores_gemma":[0.0006869673,0.0003420509,0.9198502,0.0000429711,0.0001061779,0.000153614,0.004179585,0.04825378,0.02590398,0.00009986368,0.0001630626,0.0002177761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974313,0.0006412685,0.00005618421,0.0005933287,0.0001042447,0.0002441801,0.00002767541,0.00000881394,0.0008930158],"genre_scores_gemma":[0.9992715,0.00001289001,0.0001172171,0.0000197033,0.00001002561,0.000006669702,0.000002545934,0.00000405681,0.0005554582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8818718,"threshold_uncertainty_score":0.9994628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263901723395503,"score_gpt":0.2270035801948966,"score_spread":0.2043645629609416,"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."}}