{"id":"W2314366426","doi":"10.1139/er-2012-0036","title":"Plant phenological modeling and its application in global climate change research: overview and future challenges","year":2013,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Program for New Century Excellent Talents in University; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research","keywords":"Phenology; Climate change; Environmental science; Ecology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01138102,0.001702729,0.002491484,0.002697862,0.0006684252,0.004220581,0.004128056,0.00324815,0.004258738],"category_scores_gemma":[0.008464568,0.001033487,0.002029822,0.005837542,0.002313431,0.007497661,0.002782924,0.004653484,0.001843515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479926,"about_ca_system_score_gemma":0.004921775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01292122,"about_ca_topic_score_gemma":0.006476157,"domain_scores_codex":[0.9981659,0.0007563005,0.0001471029,0.0003825599,0.0004453118,0.0001029005],"domain_scores_gemma":[0.9899735,0.006126945,0.0004964215,0.0006460019,0.002296607,0.0004605475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001121565,0.0001795167,0.006714494,0.008003625,0.0002424371,0.0001727966,0.0003599462,0.03564839,0.001810557,0.1080318,0.03846725,0.800257],"study_design_scores_gemma":[0.00002980076,0.0002193789,0.0060696,0.006459636,0.0002386858,0.0003552171,0.0005938199,0.09208898,0.0007652855,0.1722852,0.7206743,0.0002201128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002372484,0.9083079,0.06062304,0.01909378,0.002039805,0.00009654372,0.0003003927,0.0003116487,0.006854514],"genre_scores_gemma":[0.0186401,0.9252361,0.04805803,0.001694127,0.003873142,0.0001931633,0.0004499195,0.0001357113,0.001719734],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01292122,"threshold_uncertainty_score":0.06018931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2335076303385028,"score_gpt":0.3404521402729244,"score_spread":0.1069445099344216,"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."}}