{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002612423,0.0001599858,0.0002300322,0.00006008218,0.00009159282,0.00001844204,0.0002002821,0.0001269862,0.00004947376],"category_scores_gemma":[0.00008251638,0.0001224907,0.00004909252,0.00025916,0.0001914909,0.0001066205,0.00001974653,0.0001013535,0.00007633267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002142308,"about_ca_system_score_gemma":0.00003600572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813774,"about_ca_topic_score_gemma":0.02595524,"domain_scores_codex":[0.9988412,0.0001621427,0.0002353057,0.0003027245,0.0001160516,0.0003425592],"domain_scores_gemma":[0.9991933,0.0003619968,0.0001170755,0.0002135241,0.00005646975,0.00005768088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002295862,0.00003455575,0.9886029,0.00002172021,0.00001423245,0.000006640336,0.00004566303,0.0001476008,0.000991103,0.001053281,0.00005606844,0.008796663],"study_design_scores_gemma":[0.0003178562,0.0004094768,0.9961329,0.00005165365,0.00001287146,0.00001277259,0.00002332135,0.0004838237,0.0003468141,0.001460465,0.0006176453,0.0001303657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995501,0.0001015123,0.0001473991,0.0001796662,0.000207275,0.0001739057,0.001170613,0.00006762023,0.002450962],"genre_scores_gemma":[0.9985179,0.000006282266,0.0003312344,0.0001194536,0.0001838537,0.000004284787,0.0008263757,0.000003150879,0.000007523298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02314146,"threshold_uncertainty_score":0.9918185,"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."}}