{"id":"W2592147440","doi":"10.1007/s00382-017-3565-5","title":"Bayesian multiproxy temperature reconstruction with black spruce ring widths and stable isotopes from the northern Quebec taiga","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Geological Survey of Canada; Natural Resources Canada; Ouranos","funders":"Horizon 2020; Université du Québec à Rimouski","keywords":"Proxy (statistics); Volcano; Dendrochronology; Chronology; Climatology; δ18O; Taiga; Geology; Dendroclimatology; Forcing (mathematics); Bayesian probability; Ice core; δ13C; Physical geography; Environmental science; Atmospheric sciences; Stable isotope ratio; Geography; Paleontology; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001425673,0.0005902289,0.000445715,0.001108043,0.0008021306,0.0009529382,0.001309061,0.000680926,0.002013612],"category_scores_gemma":[0.003295109,0.0004314801,0.0006637343,0.001250043,0.0004280032,0.0004645229,0.000508204,0.0006614398,0.0002866266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006069825,"about_ca_system_score_gemma":0.004208907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8868786,"about_ca_topic_score_gemma":0.9344673,"domain_scores_codex":[0.999638,0.0000913127,0.00001494315,0.0001370658,0.00004543337,0.00007335397],"domain_scores_gemma":[0.9986218,0.0003335533,0.0001794325,0.0002200072,0.0005336219,0.0001114985],"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":[0.0004648344,0.0001463945,0.3700658,0.0001251874,0.0008830287,0.0003192169,0.0003378901,0.5579948,0.01749205,0.00124547,0.004266025,0.04665916],"study_design_scores_gemma":[0.00007489976,0.00002163265,0.3239475,0.00003746615,0.0001287305,0.00005097758,0.0001499394,0.6701204,0.001742371,0.0004882348,0.003144225,0.00009354117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979786,0.0003601072,0.01167252,0.0002097666,0.00001855342,0.00002643481,0.006122631,0.0003630354,0.001440912],"genre_scores_gemma":[0.9879283,0.00006369887,0.005538626,0.00004219524,0.000007102487,0.0000145538,0.005726396,0.00007910845,0.0005999838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131214,"threshold_uncertainty_score":0.2275752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007547361656434282,"score_gpt":0.2034091370804361,"score_spread":0.1958617754240018,"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."}}