{"id":"W2801044648","doi":"10.1088/1748-9326/aab863","title":"Tundra shrub effects on growing season energy and carbon dioxide exchange","year":2018,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tundra; Environmental science; Eddy covariance; Shrub; Snowmelt; Atmospheric sciences; Growing season; Sensible heat; Snow; Ecosystem; Latent heat; Ecology; Geography; Biology; Geology; Meteorology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003917138,0.0001461042,0.0001213617,0.0001316114,0.0002984905,0.00006163364,0.0001626072,0.0000561752,0.002030783],"category_scores_gemma":[0.00002235067,0.0001277253,0.00003224734,0.0001085695,0.0004202652,0.0001858329,0.00006364073,0.0001819024,0.0002558055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003370972,"about_ca_system_score_gemma":0.000004492264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002914642,"about_ca_topic_score_gemma":0.001957602,"domain_scores_codex":[0.998094,0.0002321714,0.00009118125,0.000372701,0.0006100176,0.0005998848],"domain_scores_gemma":[0.9991603,0.0003853063,0.00001914886,0.000203309,0.000002577995,0.0002293533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001991765,0.00003734925,0.6644608,0.00006141633,0.00002969656,0.0002838956,0.001261106,0.000006458965,0.2339008,0.00001168898,0.004135215,0.09561238],"study_design_scores_gemma":[0.0006347417,0.001060416,0.9003001,0.0000967224,0.000009247955,0.0000226161,0.000398454,0.001001065,0.04957076,0.00007877965,0.04645254,0.0003745681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938799,0.0008030321,0.000001909339,0.002077184,0.0001796869,0.0001284796,0.0001177874,0.0000169091,0.002795087],"genre_scores_gemma":[0.9949223,0.000599677,0.00001232581,0.003189218,0.0007253803,0.000005637571,0.0002429516,0.000009847384,0.0002926447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2358393,"threshold_uncertainty_score":0.9988815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315202015325181,"score_gpt":0.256845186572932,"score_spread":0.2253249850404139,"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."}}