{"id":"W4406903255","doi":"10.24072/pcjournal.519","title":"Cool topoclimates promote cold-adapted plant diversity in temperate mountain forests","year":2025,"lang":"en","type":"article","venue":"Peer Community Journal","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nuclear Safety and Security Commission; AgroParisTech; Agencia Estatal de Investigación; Agence Nationale de la Recherche; Ministerio de Ciencia, Innovación y Universidades; National Aeronautics and Space Administration","keywords":"Temperate rainforest; Temperate climate; Plant diversity; Diversity (politics); Temperate forest; Geography; Ecology; Forestry; Agroforestry; Environmental science; Biodiversity; Biology; Ecosystem; Sociology; Anthropology","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":[0.0001950825,0.0001264448,0.0001977604,0.0005005901,0.0004308219,0.0004833249,0.0001147786,0.0001262571,0.001019838],"category_scores_gemma":[0.0002709006,0.000121605,0.0001863229,0.0002632298,0.0002479881,0.0001616235,0.0003252454,0.000138631,0.00009058393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001686769,"about_ca_system_score_gemma":0.0001463436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006035235,"about_ca_topic_score_gemma":0.01558199,"domain_scores_codex":[0.9998927,0.00002560563,0.000007199754,0.00003067362,0.0000156957,0.00002811636],"domain_scores_gemma":[0.9998125,0.00003890206,0.0000675563,0.00001244365,0.00002347181,0.00004509981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001311079,0.00005218278,0.9502888,0.00006245205,0.000102221,0.0001333477,0.001593414,0.0002453262,0.04102786,0.00009851497,0.0001107765,0.006153987],"study_design_scores_gemma":[7.915147e-7,0.00001166735,0.9996425,0.000001461614,0.000002993867,0.00001800057,0.0001296467,0.00004034273,0.00006050285,0.0000107702,0.00008048845,9.037882e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997246,0.00005224314,0.00003755812,0.000003777089,3.302871e-7,0.000001044716,0.00002894668,0.000002714108,0.0001487257],"genre_scores_gemma":[0.9997614,0.00002788652,0.00007433677,0.000005057528,0.000001411311,0.000002011306,0.00005846139,0.000001015134,0.00006842081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006035235,"threshold_uncertainty_score":0.0120002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326961265045437,"score_gpt":0.2624782245605123,"score_spread":0.2392086119100579,"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."}}