{"id":"W3214228005","doi":"10.1139/as-2020-0043","title":"Shading decreases and delays NDVI and flowering of prostrate Arctic shrubs","year":2021,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Shading; Tundra; Shrub; Deciduous; Phenology; Canopy; Growing season; Environmental science; Normalized Difference Vegetation Index; Vegetation (pathology); Arctic; Biology; Agronomy; Horticulture; Botany; Leaf area index; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736783,0.00008438538,0.0001188514,0.00006803194,0.0002343018,0.0001256073,0.0001145238,0.00002106026,0.0007735512],"category_scores_gemma":[0.0002556634,0.00007225411,0.00001621629,0.0004293754,0.000486477,0.0003967987,0.00004650009,0.00006068609,0.000009350109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003812015,"about_ca_system_score_gemma":0.00009650224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262997,"about_ca_topic_score_gemma":0.005015644,"domain_scores_codex":[0.9990456,0.00001888681,0.0001359034,0.000306924,0.0002195994,0.0002731399],"domain_scores_gemma":[0.9993709,0.0001869127,0.00004338193,0.0001366177,0.00008471154,0.0001774608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007239955,0.000005379668,0.9702131,0.00008020054,0.000002985894,0.0000279597,0.0007441923,0.0000204184,0.02379591,0.00009655007,0.000003052516,0.005002964],"study_design_scores_gemma":[0.0001637977,0.00007841318,0.9802936,0.0001491567,0.00001590664,0.0002959335,0.001121912,0.007863158,0.008837496,0.0009614694,0.00007235463,0.000146755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969673,0.001439774,0.00001030763,0.0001780998,0.0001284547,0.00005847836,0.00004800667,0.000009218043,0.001160359],"genre_scores_gemma":[0.9987339,0.0004828031,0.0005338797,0.0001675753,0.00002927265,5.753446e-7,0.00002016245,0.00000179785,0.00003007168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01495842,"threshold_uncertainty_score":0.8469844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963335416944591,"score_gpt":0.2425677887717737,"score_spread":0.2129344346023277,"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."}}