{"id":"W2116696089","doi":"10.3732/ajb.1100235","title":"Variation in intra‐annual wood formation, and foliage and shoot development of three major Canadian boreal tree species","year":2012,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Sciences and Engineering Research Council of Canada; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"","keywords":"Shoot; Biology; Growing season; Xylem; Taiga; Boreal; Annual growth %; Botany; Growing degree-day; Horticulture; Agronomy; Phenology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001702622,0.0002663923,0.0001402801,0.0007579084,0.001473863,0.0004904091,0.0003993294,0.0001473039,0.0008867752],"category_scores_gemma":[0.0002520007,0.0001215236,0.0001546999,0.0007796071,0.0003057425,0.0001847929,0.0002268755,0.000228423,0.0001020519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006581932,"about_ca_system_score_gemma":0.003674218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9626687,"about_ca_topic_score_gemma":0.9929422,"domain_scores_codex":[0.9998664,0.000005894456,0.000004626395,0.00004593884,0.00004280416,0.00003435801],"domain_scores_gemma":[0.9996214,0.00001955319,0.00005399962,0.00001162058,0.0002079388,0.00008551363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001258449,0.00004924696,0.9595407,0.00005739982,0.00008415145,0.0001059337,0.001248913,0.000258992,0.02408364,0.0001488947,0.0007433953,0.01355289],"study_design_scores_gemma":[6.957995e-7,0.000003933756,0.9993473,0.000001451136,0.000004984237,0.00001708651,0.0001214876,0.00006281633,0.0001097857,0.000002642944,0.0003256636,0.000002096335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972773,0.000228475,0.0001320723,0.00001882416,0.000001954278,0.00001239033,0.000742562,0.00001096904,0.001575489],"genre_scores_gemma":[0.9979951,0.00009817703,0.0003474246,0.00002050746,8.497956e-7,0.00000837536,0.0007974447,0.000003676868,0.000728493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03733134,"threshold_uncertainty_score":0.07510233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115054848960021,"score_gpt":0.206217406966882,"score_spread":0.1950668584772818,"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."}}