{"id":"W4396674385","doi":"10.3390/plants13091271","title":"Environmental and Biogeographic Drivers behind Alpine Plant Thermal Tolerance and Genetic Variation","year":2024,"lang":"en","type":"article","venue":"Plants","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; McMaster University","keywords":"Threatened species; Ecology; Population; Intraspecific competition; Habitat; Climate change; Microclimate; Alpine plant; Genetic variation; Ecosystem; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004969448,0.0001181158,0.0001618003,0.000589213,0.00026429,0.0005214919,0.0001682488,0.0002182466,0.0009391014],"category_scores_gemma":[0.0007664976,0.00008624366,0.0001467668,0.0006610432,0.000457575,0.0003215006,0.0003424919,0.0002668224,0.00008170798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000267363,"about_ca_system_score_gemma":0.0001503043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004569863,"about_ca_topic_score_gemma":0.01031025,"domain_scores_codex":[0.9997827,0.00007997947,0.00001630938,0.00006724249,0.00002409393,0.00002963203],"domain_scores_gemma":[0.9995064,0.000150681,0.0001858228,0.00003739529,0.0000669205,0.00005269037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001711066,0.00003289365,0.9500123,0.00006442446,0.0001446101,0.0001484829,0.00167976,0.00137343,0.03027413,0.0007009852,0.0000671954,0.01533076],"study_design_scores_gemma":[0.000001686446,0.00001495829,0.9982769,0.00000543436,0.00001041941,0.00004494641,0.0002733859,0.0008782255,0.0001410521,0.0002000353,0.0001495179,0.000003492389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994441,0.0001014525,0.0001506106,0.00001756219,4.948134e-7,9.397604e-7,0.00002597927,0.000001882973,0.0002569602],"genre_scores_gemma":[0.9997982,0.00003992399,0.0000808624,0.000005379264,0.000001428268,0.000001105811,0.00002901581,0.000001012032,0.00004303663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004569863,"threshold_uncertainty_score":0.00908649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0087646836931013,"score_gpt":0.1871008746665809,"score_spread":0.1783361909734796,"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."}}