{"id":"W1998727708","doi":"10.1007/s13595-013-0344-2","title":"Low soil temperatures increase carbon reserves in Picea mariana and Pinus contorta","year":2013,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pinus contorta; Black spruce; Seedling; Photosynthesis; Botany; Interspecific competition; Soil carbon; Biomass (ecology); Soil water; Taiga; Biology; Carbon cycle; Aceraceae; Dormancy; Agronomy; Ecosystem; Ecology; Germination","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":[0.000135975,0.0004128837,0.0002761658,0.0006969825,0.0004517557,0.0004477766,0.0005587229,0.0003902542,0.001213852],"category_scores_gemma":[0.0003081541,0.0004146642,0.0003180274,0.0002812296,0.0003585093,0.0005438731,0.0007069333,0.0005342003,0.0002167132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005261111,"about_ca_system_score_gemma":0.0001784511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005097,"about_ca_topic_score_gemma":0.008750065,"domain_scores_codex":[0.999909,0.00001426842,0.00000711325,0.00003474587,0.00001247524,0.00002227085],"domain_scores_gemma":[0.9996792,0.00009046208,0.00006895289,0.00002936711,0.00002465353,0.0001073515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001698229,0.0001733928,0.04345256,0.0002088714,0.0002200142,0.0002901513,0.0005637135,0.0006976973,0.9456912,0.0003791153,0.0001525334,0.006472469],"study_design_scores_gemma":[0.00004579599,0.0002979412,0.9692425,0.00001181335,0.0001145669,0.0002201342,0.0005060559,0.001821515,0.0264171,0.0003227263,0.0009783682,0.00002135893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992917,0.0001665129,0.00006479522,0.00002509727,0.000004374915,0.000002480623,0.00005174599,0.0000152147,0.0003780602],"genre_scores_gemma":[0.9991523,0.00007963961,0.00006748168,0.00002941979,0.000002771154,0.000008120929,0.00009158441,0.00001022116,0.000558461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005097,"threshold_uncertainty_score":0.0101347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056152901276648,"score_gpt":0.2287298715141401,"score_spread":0.2181683425013736,"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."}}