{"id":"W3091459558","doi":"10.5194/egusphere-egu2020-21137","title":"Comparison between Blue Intensity (BI) and Maximum Latewood Density (MXD) tree-ring chronologies from the North American Boreal forests","year":2020,"lang":"en","type":"article","venue":"","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boreal; Taiga; Dendrochronology; Climatology; Latitude; Maximum density; Proxy (statistics); Environmental science; Population; Physical geography; Atmospheric sciences; Geography; Geology; Forestry; Ecology; Biology; Physics; Demography; Mathematics","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":[0.0008033051,0.0002357893,0.0001510765,0.001973419,0.0003001719,0.0005189328,0.0002165358,0.000146779,0.0004728112],"category_scores_gemma":[0.0008666943,0.0001082053,0.0001530081,0.001126333,0.0001903681,0.0003343924,0.0003154171,0.0001407851,0.0001500483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912392,"about_ca_system_score_gemma":0.0001906417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01880642,"about_ca_topic_score_gemma":0.07502971,"domain_scores_codex":[0.9997904,0.0000340755,0.00002481342,0.00007890684,0.00004926955,0.00002261292],"domain_scores_gemma":[0.9988417,0.0001551516,0.0002818427,0.0001022738,0.0004904639,0.0001286571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194054,0.0000194123,0.9715802,0.00005648749,0.0000942988,0.0000568889,0.000455646,0.0006919475,0.009204079,0.00009177372,0.0005150085,0.01711481],"study_design_scores_gemma":[0.000002043683,0.000005734002,0.9986169,0.000003901779,0.00001667046,0.00003315946,0.00006796544,0.0003743302,0.0002377039,0.00001088589,0.0006279072,0.000002705123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949555,0.0004753169,0.001297682,0.0000115242,0.00001666048,0.00001095362,0.001551452,0.00004671764,0.001634353],"genre_scores_gemma":[0.9945913,0.0001349935,0.002119809,0.00001836383,0.00001786385,0.0000235132,0.002826261,0.00001849551,0.0002493441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01880642,"threshold_uncertainty_score":0.03739393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410078866281536,"score_gpt":0.2523969116675543,"score_spread":0.2113890250394007,"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."}}