{"id":"W2044226905","doi":"10.1111/j.1365-2486.2006.01179.x","title":"On linking interannual tree ring variability with observations of whole‐forest CO <sub>2</sub> flux","year":2006,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Environmental Biology; U.S. Department of Energy; National Science Foundation","keywords":"Chronology; Dendrochronology; Flux (metallurgy); Environmental science; Black spruce; Ecosystem respiration; Precipitation; Atmospheric sciences; Ecosystem; Taiga; Climatology; Carbon cycle; Primary production; Physical geography; Ecology; Forestry; Geography; Geology; Biology; Chemistry; Meteorology; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001117217,0.0002801586,0.0001937942,0.0009049506,0.0001850439,0.0006387414,0.0003056766,0.000292915,0.0006893261],"category_scores_gemma":[0.002427866,0.0002333625,0.0001320387,0.000890811,0.0001465514,0.0003622181,0.0002583569,0.0001421075,0.0001519858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003469373,"about_ca_system_score_gemma":0.0002426184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255533,"about_ca_topic_score_gemma":0.0534954,"domain_scores_codex":[0.9998087,0.0000639237,0.00001329479,0.00005987297,0.00002926861,0.00002479259],"domain_scores_gemma":[0.9980589,0.0008826972,0.0004990619,0.0001753441,0.0002644124,0.000119645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006552404,0.00001917565,0.9929538,0.00001064159,0.00006300334,0.00001837338,0.00004005935,0.000907763,0.002296675,0.00002243289,0.00004599709,0.003556607],"study_design_scores_gemma":[0.000002071272,0.0000163437,0.9965246,0.000003303154,0.00001297363,0.00001949602,0.00003416861,0.002864534,0.0003861324,0.00001791544,0.0001148188,0.00000350967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983616,0.0001027951,0.0006397046,0.000009047714,0.000003496374,0.000007125484,0.0003676628,0.00001181784,0.0004967313],"genre_scores_gemma":[0.9983083,0.00005416491,0.000950944,0.00001082989,0.000004560075,0.00001153078,0.0004953166,0.000004525547,0.000159771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02255533,"threshold_uncertainty_score":0.04484808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583902687670969,"score_gpt":0.2503742832040382,"score_spread":0.2145352563273284,"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."}}