{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006181301,0.0001316688,0.0003294939,0.001624424,0.0001871971,0.0001232134,0.0007365798,0.00009225566,0.002378515],"category_scores_gemma":[0.005328089,0.0001088117,0.00008353614,0.001002698,0.0003278023,0.0003733864,0.00004148871,0.0005700613,0.0002497871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008131823,"about_ca_system_score_gemma":0.001868095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08548196,"about_ca_topic_score_gemma":0.6273927,"domain_scores_codex":[0.9966811,0.0009877504,0.0006497586,0.0002117144,0.0005534114,0.00091629],"domain_scores_gemma":[0.9961244,0.001514425,0.0001274748,0.0002929773,0.0007648768,0.001175794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003368925,0.00001130557,0.9945086,0.00005444987,0.000009506182,0.0001781654,0.0006321401,0.0001733857,0.0001322931,0.00002515083,0.0003874818,0.003550627],"study_design_scores_gemma":[0.0002409502,0.0005918017,0.9964328,0.000201418,0.000003028894,0.00008323544,0.0003454489,0.0002300798,0.0003104988,0.0004543144,0.001004269,0.0001021794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957973,0.0001318332,0.000009133949,0.001928004,0.0001668007,0.0002795719,0.0001643312,0.000003774308,0.001519251],"genre_scores_gemma":[0.9979258,0.00004262949,0.001751485,0.00005103911,0.00008335177,0.000001746091,0.00000484233,0.000007914266,0.0001311633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5419107,"threshold_uncertainty_score":0.9985334,"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."}}