{"id":"W4411129495","doi":"10.1111/nph.70285","title":"Herbarium specimens reveal drivers of Arctic shrub growth","year":2025,"lang":"en","type":"article","venue":"New Phytologist","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Herbarium; Shrub; Arctic; Biology; The arctic; Ecology; Botany; Geography; Geology; Oceanography","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":[0.0007597911,0.0004415355,0.0003291003,0.001732479,0.001208877,0.00035199,0.0004699659,0.0003289422,0.03271921],"category_scores_gemma":[0.0008487497,0.0002729964,0.0002374765,0.001727092,0.000205437,0.0004494767,0.0006313057,0.0004724453,0.01474215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985234,"about_ca_system_score_gemma":0.0004404259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005733067,"about_ca_topic_score_gemma":0.03400423,"domain_scores_codex":[0.9995658,0.0000420717,0.00004103993,0.0001239696,0.0001493581,0.00007792149],"domain_scores_gemma":[0.9986497,0.0001888173,0.000322582,0.0002256246,0.0003466091,0.0002667554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001552219,0.000348021,0.1622764,0.002159198,0.0002330694,0.002948201,0.002653441,0.0006353859,0.1684619,0.002368025,0.3436497,0.3127144],"study_design_scores_gemma":[0.00004631418,0.00007902997,0.5747662,0.0001496695,0.00004469159,0.0007671533,0.0005470134,0.0001815414,0.004024684,0.0004360071,0.4189282,0.00002937433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3751158,0.008579282,0.007134547,0.001562898,0.001197033,0.002134466,0.356304,0.002466734,0.2455052],"genre_scores_gemma":[0.5300577,0.00620827,0.05377956,0.001783592,0.00106249,0.002333289,0.253573,0.0009323105,0.1502698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03271921,"threshold_uncertainty_score":0.1094567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945408432665315,"score_gpt":0.2507293536430545,"score_spread":0.2212752693164014,"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."}}