{"id":"W3159883661","doi":"10.1139/as-2020-0016","title":"Interspecific and intraspecific variation in leaf toughness of Arctic plants in relation to habitat and nutrient supply","year":2021,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of International Science and Engineering; Centro Nacional de Investigaciones Cardiovasculares; National Science Foundation","keywords":"Tundra; Tussock; Biology; Interspecific competition; Botany; Ecology; Agronomy; Arctic","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004629004,0.0001917497,0.000294516,0.0009467784,0.00066827,0.0004619025,0.0001673692,0.0002338146,0.0008585929],"category_scores_gemma":[0.000541503,0.000220514,0.0001890657,0.0005223555,0.0004454173,0.0002492739,0.000440962,0.0002356129,0.0001316467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004484637,"about_ca_system_score_gemma":0.0001805637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506913,"about_ca_topic_score_gemma":0.04247076,"domain_scores_codex":[0.9997585,0.00005958022,0.00001660121,0.00008556117,0.00004397429,0.0000357621],"domain_scores_gemma":[0.9993512,0.0001828643,0.0001741452,0.0000671122,0.00008861987,0.0001360388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003192668,0.00004530227,0.9095298,0.00002575919,0.0001835773,0.00008653833,0.001154804,0.0002910414,0.08480652,0.00006283165,0.00004017971,0.00345427],"study_design_scores_gemma":[7.628221e-7,0.00001790609,0.999446,0.000001005303,0.00000596197,0.00002429424,0.0001299944,0.0001088912,0.0002116743,0.000008715022,0.00004301023,0.000001831303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997311,0.0000340079,0.00004669109,0.000001726853,6.327572e-7,9.03739e-7,0.00003441534,0.000001507813,0.0001489657],"genre_scores_gemma":[0.9996674,0.0000212629,0.00008737423,0.000004758514,9.780318e-7,0.00000290027,0.00009219489,0.000002062441,0.000121053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01506913,"threshold_uncertainty_score":0.02996284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803537324223645,"score_gpt":0.240282119843845,"score_spread":0.2122467466016086,"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."}}