{"id":"W2914048120","doi":"10.1007/s10584-019-02374-0","title":"Growing season and radial growth predicted for Fagus sylvatica under climate change","year":2019,"lang":"en","type":"article","venue":"Climatic Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Univerza v Ljubljani; U.S. Forest Service; Javna Agencija za Raziskovalno Dejavnost RS; Université du Québec à Chicoutimi","keywords":"Phenology; Fagus sylvatica; Xylem; Beech; Climate change; Growing season; Precipitation; Environmental science; Global warming; Climatology; Ecology; Geography; Biology; Botany; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004747553,0.0002718036,0.0003985704,0.0001693746,0.0002010402,0.0001254698,0.0002117788,0.0001343648,0.0007501764],"category_scores_gemma":[0.0001419087,0.0002346925,0.00009046284,0.0002406854,0.00008928718,0.0007095148,0.00004690349,0.0001258583,0.0002975773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001610131,"about_ca_system_score_gemma":0.00001889262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003005708,"about_ca_topic_score_gemma":0.0003512968,"domain_scores_codex":[0.998104,0.00009662593,0.000308589,0.0004438807,0.0002900997,0.0007568378],"domain_scores_gemma":[0.9984095,0.0009036003,0.0001364733,0.0002777265,0.00004976512,0.0002229437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004585309,0.00005500286,0.9554656,0.002253118,0.0000713588,0.00001634051,0.00257845,0.00001134519,0.0001392289,0.001915672,0.0001667466,0.03686865],"study_design_scores_gemma":[0.001435298,0.0004891709,0.9624484,0.0003567127,0.000093487,0.00003379125,0.0006733215,0.03256385,0.00004801664,0.0008770048,0.0005727356,0.0004082712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928077,0.001250837,0.00003860319,0.00136266,0.0007202678,0.001719893,0.000763887,0.00019222,0.001143876],"genre_scores_gemma":[0.9964802,0.0006270576,0.001023471,0.000951807,0.0004750101,0.00007328424,0.0002985803,0.00002315502,0.00004740571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03646038,"threshold_uncertainty_score":0.9570481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955241566821237,"score_gpt":0.2507667148562244,"score_spread":0.201214299188012,"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."}}