{"id":"W3082468995","doi":"10.1111/gcb.15327","title":"Growing‐season frost is a better predictor of tree growth than mean annual temperature in boreal mixedwood forest plantations","year":2020,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frost (temperature); Taiga; Boreal; Growing season; Black spruce; Temperate climate; Ecotone; Alpine climate; Environmental science; Picea abies; Picea engelmannii; Agronomy; Biology; Ecology; Geography; Pinus contorta; Shrub","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008764983,0.0001815959,0.0002807669,0.00006647013,0.00005011393,0.00001628432,0.0002693994,0.000201535,0.0001314489],"category_scores_gemma":[0.00008250281,0.0001476887,0.00006956956,0.0003675146,0.0001241249,0.0001989886,0.00003163348,0.0001320872,0.00005058319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001010852,"about_ca_system_score_gemma":0.00004262585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007770707,"about_ca_topic_score_gemma":0.02612684,"domain_scores_codex":[0.9987597,0.0001475575,0.0002295297,0.0003439811,0.0001342199,0.000385039],"domain_scores_gemma":[0.9994819,0.0001139513,0.00008256803,0.0001193044,0.00004047505,0.0001618248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003278616,0.00001549458,0.9958344,0.00003353886,0.00002338495,0.00002819388,0.001160995,8.07181e-7,0.00006407309,0.0001488287,0.0008685898,0.001493857],"study_design_scores_gemma":[0.000543699,0.0005250922,0.9973125,0.00002593311,0.00001729276,0.00001553941,0.0003260251,0.0001264969,0.0000809,0.0002510877,0.0006324237,0.0001429881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736216,0.0006215484,0.000002729449,0.003497896,0.0002078189,0.0002078602,0.02107073,0.00005218499,0.0007176137],"genre_scores_gemma":[0.996363,0.00007751462,0.0001638068,0.001660043,0.0003636181,0.000005312431,0.001358991,0.000004086473,0.000003607979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227414,"threshold_uncertainty_score":0.9988366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476212636173072,"score_gpt":0.2424813279416665,"score_spread":0.2177192015799358,"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."}}