{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005725309,0.000209859,0.000629802,0.003119597,0.0002397789,0.0001252031,0.0009761407,0.0001086247,0.0007428912],"category_scores_gemma":[0.004201604,0.0001883207,0.0001683172,0.002727769,0.0003304555,0.0001796193,0.00002833794,0.0006036565,0.00005466518],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945437,"about_ca_system_score_gemma":0.01360944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987384,"about_ca_topic_score_gemma":0.999998,"domain_scores_codex":[0.9950815,0.001476102,0.0008085473,0.0003143956,0.001126144,0.001193254],"domain_scores_gemma":[0.9946237,0.002370276,0.0002395275,0.0004055277,0.0006510917,0.001709878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001911902,0.000009671522,0.9740221,0.00002781488,0.0001293732,0.0006251768,0.0004929682,0.01811805,0.00004229989,0.00002336788,0.0006264071,0.0039709],"study_design_scores_gemma":[0.0005628961,0.0004964604,0.9907569,0.00006672075,0.0000679967,0.00002891443,0.0002479205,0.002623965,0.00004576812,0.00003681429,0.004878605,0.0001869883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953578,0.000212463,0.00001784261,0.002812627,0.0001947717,0.0001880578,0.000418408,0.000003584575,0.0007944198],"genre_scores_gemma":[0.9994211,0.00002356603,0.0001289974,0.0001270118,0.0001449999,8.568519e-7,0.00002211317,0.00001388883,0.0001174953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01673488,"threshold_uncertainty_score":0.9919825,"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."}}