{"id":"W2129049911","doi":"10.1139/cjfr-2012-0372","title":"Nonlinear responses of white spruce growth to climate variability in interior Alaska","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Precipitation; Boreal; Environmental science; Climate change; Growing season; Latitude; Black spruce; Climatology; Range (aeronautics); Dendroclimatology; Physical geography; Ecology; Geography; Atmospheric sciences; Forestry; Biology; Geology; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002756132,0.0001480762,0.0001435685,0.0002327993,0.0002156209,0.0003024415,0.0001042311,0.0001471845,0.0005007734],"category_scores_gemma":[0.0008015762,0.0001129334,0.0001494842,0.0001683003,0.0001779625,0.0001642135,0.0002477003,0.0001916265,0.0000933152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710249,"about_ca_system_score_gemma":0.0002271854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03684115,"about_ca_topic_score_gemma":0.066055,"domain_scores_codex":[0.9998978,0.00002204673,0.000006355599,0.00003583407,0.00001775221,0.00002016645],"domain_scores_gemma":[0.9996252,0.0001327069,0.00007247951,0.00003753734,0.00007550287,0.00005648447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675965,0.00004325695,0.9721035,0.00001301944,0.0000561655,0.00008747849,0.0003889181,0.008326355,0.01462662,0.0001009556,0.0001090633,0.003977067],"study_design_scores_gemma":[0.000001326008,0.00001475736,0.9962013,0.00000166292,0.000005803864,0.0000206001,0.0001660387,0.003226685,0.0002430963,0.00005016949,0.00006584883,0.000002784472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996629,0.00001938042,0.00007026111,0.00000801187,9.89894e-7,5.869359e-7,0.00005022906,0.000003282641,0.0001844847],"genre_scores_gemma":[0.9997734,0.00001339765,0.00003712814,0.000002972026,7.547446e-7,8.492615e-7,0.00007298686,0.000001330798,0.00009718602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03684115,"threshold_uncertainty_score":0.07325345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531403811920501,"score_gpt":0.2968467597279391,"score_spread":0.261532721608734,"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."}}