{"id":"W2119352204","doi":"10.1139/cjfr-2014-0080","title":"Spatial analysis of black spruce (<i>Picea mariana</i> (Mill.) B.S.P.) radial growth response to climate in northern Québec – Labrador Peninsula, Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Geological Survey of Canada; Natural Resources Canada; GDG Environnement; Université du Québec à Rimouski; Hydro-Québec; Université du Québec à Montréal","funders":"","keywords":"Black spruce; Taiga; Boreal; Dendroclimatology; Dendrochronology; Peninsula; Physical geography; Geography; Subarctic climate; Climate change; Growing season; Spatial ecology; Ecology; Climatology; Forestry; Environmental science; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002780365,0.0001812708,0.0001990683,0.0009916173,0.0006206509,0.0005162309,0.0003638319,0.0001351797,0.001012992],"category_scores_gemma":[0.0005956466,0.0000996975,0.0001857946,0.001474492,0.0002750047,0.0001076126,0.0002534851,0.0001356224,0.0001498315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003977044,"about_ca_system_score_gemma":0.002655685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9561052,"about_ca_topic_score_gemma":0.9841501,"domain_scores_codex":[0.9998228,0.00001871282,0.000007277448,0.00006064647,0.00003807921,0.00005253207],"domain_scores_gemma":[0.9991203,0.00009774248,0.0001515029,0.00003076619,0.0004560517,0.0001436276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007185047,0.00001599269,0.9809294,0.00002491006,0.00005457158,0.00007299665,0.0005805218,0.0006187579,0.005610039,0.00005001245,0.0006364009,0.01133466],"study_design_scores_gemma":[8.375692e-7,0.000004041517,0.9991094,0.00000328268,0.000005078,0.00001297793,0.0002252896,0.0003091168,0.00006731644,0.000003218137,0.0002568771,0.000002450916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983828,0.0001679444,0.0001444408,0.0000254584,0.000001643227,0.00000543016,0.0007983577,0.00001009288,0.0004638416],"genre_scores_gemma":[0.9986587,0.0000650565,0.0002293514,0.00001094126,9.944644e-7,0.000005811337,0.000649996,0.000003200663,0.000376111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04389477,"threshold_uncertainty_score":0.08830649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604477698624986,"score_gpt":0.2466842721809343,"score_spread":0.2306394951946844,"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."}}