{"id":"W4385483270","doi":"10.3389/ffgc.2023.1257096","title":"Editorial: Changing seasons: how is global warming affecting forest phenology?","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Forests and Global Change","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry; Northern Alberta Institute of Technology; Lakehead University","funders":"","keywords":"Phenology; Global warming; Environmental science; Climate change; Climatology; Agroforestry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005930624,0.00507397,0.004315546,0.003816234,0.003339655,0.006177095,0.003746958,0.01244861,0.03983548],"category_scores_gemma":[0.0196918,0.001160234,0.00274323,0.001714629,0.001855433,0.004248604,0.001459944,0.01382896,0.0267233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647361,"about_ca_system_score_gemma":0.002804236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434762,"about_ca_topic_score_gemma":0.006213346,"domain_scores_codex":[0.9970021,0.0004163269,0.0003447983,0.0005568026,0.001414513,0.0002656021],"domain_scores_gemma":[0.9856619,0.004615773,0.0009241672,0.0003476093,0.006031099,0.002419519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003677826,0.000009309489,0.00002564592,0.0001412893,0.00001241574,0.00006337543,0.000006553591,0.00002152247,0.00003886459,0.0001143643,0.9967885,0.00274145],"study_design_scores_gemma":[0.0001266075,0.0000400924,0.0005513844,0.0005901219,0.00007988458,0.0002552988,0.00005206866,0.0002466871,0.0001449865,0.001336558,0.9965454,0.00003093288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003165663,0.001970164,0.00008001771,0.02210377,0.9740632,0.0000206357,0.000122148,0.00006891606,0.001539502],"genre_scores_gemma":[0.0004600506,0.002515347,0.00009881238,0.01297523,0.9728268,0.00002626636,0.00007523245,0.00005377293,0.01096843],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03983548,"threshold_uncertainty_score":0.133263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757776467789619,"score_gpt":0.2438564645073853,"score_spread":0.2262786998294891,"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."}}