{"id":"W4285005191","doi":"10.3390/s22145155","title":"Characterizing Seasonal Radial Growth Dynamics of Balsam Fir in a Cold Environment Using Continuous Dendrometric Data: A Case Study in a 12-Year Soil Warming Experiment","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministère des Ressources naturelles et des Forêts; Université du Québec à Montréal","funders":"Ouranos; Mitacs; Ministère des Forêts, de la Faune et des Parcs","keywords":"Growing season; Evergreen; Phenology; Environmental science; Balsam; Seasonality; Boreal; Growth rate; Ecology; Atmospheric sciences; Biology; Horticulture; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005736989,0.0002486072,0.0003084442,0.0003605309,0.0003270229,0.0002251371,0.0002416531,0.0002463871,0.0001737299],"category_scores_gemma":[0.0004212553,0.00008959122,0.0002914389,0.0004047179,0.0002378762,0.0001560035,0.0001531988,0.000249194,0.00004879766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720187,"about_ca_system_score_gemma":0.0001359688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009729772,"about_ca_topic_score_gemma":0.02454238,"domain_scores_codex":[0.9998903,0.00002840629,0.000006763334,0.00003788367,0.00001950667,0.00001699144],"domain_scores_gemma":[0.9996046,0.0001254481,0.0000627944,0.00006260115,0.00008627918,0.00005830341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001489573,0.001101049,0.6370216,0.0001180135,0.0001904913,0.000656924,0.0009546719,0.01164009,0.3239334,0.0001640879,0.0002079037,0.02252211],"study_design_scores_gemma":[0.000008176193,0.00041591,0.984185,0.0000028929,0.00002867196,0.0000716037,0.0002070134,0.006714439,0.008111183,0.00002990625,0.0002115174,0.00001370594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996914,0.00001060523,0.0001864499,0.000001705744,8.686635e-7,0.000002951191,0.00006221388,0.000004121062,0.00003966202],"genre_scores_gemma":[0.9990014,0.00001633896,0.0007113506,0.000002902166,0.000001709731,0.000007888041,0.0002035099,0.000002343538,0.0000526526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009729772,"threshold_uncertainty_score":0.0193463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908212816142285,"score_gpt":0.2552340614521376,"score_spread":0.2161519332907147,"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."}}