{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003487998,0.0000802841,0.00005685634,0.00002136264,0.00007465582,0.00004603831,0.00004193149,0.00003620653,0.006698229],"category_scores_gemma":[0.000001087983,0.00007103755,0.00001293395,0.00002803129,0.0001045028,0.00008948619,0.00006061439,0.00004674197,0.0003628268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004566582,"about_ca_system_score_gemma":0.000001135564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007414593,"about_ca_topic_score_gemma":0.00005923334,"domain_scores_codex":[0.9994586,0.00001167198,0.00007113141,0.0002043014,0.0001203476,0.0001339161],"domain_scores_gemma":[0.9998499,0.00001564081,0.00001456305,0.00005691499,2.913337e-7,0.00006275882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003789386,0.00008202639,0.7419627,0.00003554408,0.00004168236,0.0001599494,0.002361811,0.00002296438,0.2320189,0.0001031801,0.00234357,0.02082986],"study_design_scores_gemma":[0.0001528919,0.00002486438,0.9898761,0.000009324036,0.000009199971,0.00005669647,0.0001216613,0.001028539,0.0004255537,0.00002129352,0.008181242,0.00009265637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975135,0.0006926927,0.00001089475,0.0001213872,0.0001023032,0.00007756908,0.0005876712,0.0000284637,0.0008654884],"genre_scores_gemma":[0.998451,0.001267031,0.00002572298,0.00008646312,0.0000194596,0.00000518702,0.00009080351,0.00000511078,0.00004920047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2479134,"threshold_uncertainty_score":0.9942098,"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."}}