{"id":"W2005615946","doi":"10.1002/2014jd022055","title":"Biosphere‐climate interactions in a changing climate over North America","year":2015,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Phenology; Environmental science; Climatology; Climate change; Vegetation (pathology); Precipitation; Biosphere; Atmospheric sciences; Climate model; Representative Concentration Pathways; Growing season; Global warming; Biomass (ecology); Latitude; Albedo (alchemy); Greenhouse gas; Ecology; Geography; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002965364,0.0003737032,0.0002642048,0.0003584865,0.0007244215,0.0007681648,0.0005104121,0.0005472375,0.001251947],"category_scores_gemma":[0.0006160505,0.0002276703,0.0005490059,0.0005857292,0.0003394677,0.0003744656,0.0002933877,0.0002739284,0.00006535118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004434416,"about_ca_system_score_gemma":0.003020881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7423694,"about_ca_topic_score_gemma":0.7404405,"domain_scores_codex":[0.999879,0.00002808671,0.0000037965,0.00003122024,0.00002252622,0.00003529686],"domain_scores_gemma":[0.999833,0.00003678849,0.00002075028,0.00001032198,0.00006617251,0.00003295539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002230719,0.0001352512,0.2838743,0.00007786377,0.0003175665,0.0003564405,0.0002852218,0.6944144,0.008492541,0.001566354,0.00260991,0.007647246],"study_design_scores_gemma":[0.00007786447,0.00008716997,0.4966938,0.00001594195,0.0001221195,0.00006453344,0.0005278322,0.4967564,0.001331246,0.0006930553,0.003568257,0.00006183141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972497,0.00009697434,0.000366187,0.0002026297,0.000008619226,0.000008766413,0.0007482599,0.00004860753,0.00127025],"genre_scores_gemma":[0.9988545,0.00007454352,0.0003596234,0.0000343711,0.000002413347,0.000007712128,0.0004540732,0.000007310621,0.0002054363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2576306,"threshold_uncertainty_score":0.5182958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609469924652707,"score_gpt":0.3552702037984368,"score_spread":0.2943232113331661,"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."}}