{"id":"W4409355377","doi":"10.1139/as-2024-0033","title":"Vascular plant biomass and herbivore disturbance, but not summer temperature, explain satellite and drone-based NDVI in High Arctic Svalbard","year":2025,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norsk Polarinstitutt; Tromsø Forskningsstiftelse","keywords":"Drone; Biomass (ecology); Disturbance (geology); Arctic; Normalized Difference Vegetation Index; Herbivore; Satellite; Environmental science; Ecology; Climate change; Biology; Engineering; Botany","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":[0.0007630703,0.000205507,0.0002450524,0.0003033543,0.0003408923,0.0002659755,0.0002877145,0.0000752627,0.0001977134],"category_scores_gemma":[0.0001148248,0.0001634026,0.00003365779,0.001017076,0.0007532029,0.0003560339,0.00004475334,0.0001762345,0.00002098196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002443805,"about_ca_system_score_gemma":0.0001106782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02695424,"about_ca_topic_score_gemma":0.02404907,"domain_scores_codex":[0.9981465,0.00006719585,0.0002347687,0.0006416498,0.0003805188,0.0005293132],"domain_scores_gemma":[0.9990918,0.0003283262,0.00004965918,0.0002960799,0.00004876757,0.0001853543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004849555,0.00001792463,0.9936251,0.0001624949,0.000006074507,0.00003758833,0.0002962498,0.00002807053,0.003590467,0.0001909687,0.0000240765,0.001972486],"study_design_scores_gemma":[0.0005781263,0.00006269752,0.9936154,0.0002360345,0.00001613571,0.00001426671,0.0002499493,0.001869334,0.001559321,0.0003940508,0.001180007,0.000224709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945453,0.003277659,0.000005840505,0.0008857662,0.0003779534,0.0002263713,0.0002954153,0.00002034329,0.0003653497],"genre_scores_gemma":[0.9975739,0.000665991,0.0001601169,0.001267356,0.00003542612,0.000005345061,0.0001872953,0.000003626964,0.0001009276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003028614,"threshold_uncertainty_score":0.9937595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947233916912562,"score_gpt":0.2304900785517143,"score_spread":0.2110177393825887,"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."}}