{"id":"W3199246541","doi":"10.1111/evo.14352","title":"Digest: Between invasive species and a hot place: Plant evolution under climate change <sup>*</sup>","year":2021,"lang":"en","type":"letter","venue":"Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Climate change; Invasive species; Montenegro; Ecology; Introduced species; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002657072,0.0005583703,0.0005430212,0.0001375795,0.0004724853,0.0001672073,0.0003065933,0.0009263432,0.01350588],"category_scores_gemma":[0.00007653693,0.0005661027,0.0001757815,0.0004383461,0.0004634328,0.0004751278,0.0006078886,0.001024196,0.001688542],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003994524,"about_ca_system_score_gemma":0.00004590308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007883793,"about_ca_topic_score_gemma":0.0004670271,"domain_scores_codex":[0.9965411,0.0002229105,0.0004461689,0.0009691315,0.00085342,0.0009672847],"domain_scores_gemma":[0.9988171,0.000173464,0.0002978564,0.0005054707,0.00003790612,0.000168228],"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":[0.00003049871,0.00005383683,0.05766809,0.0001871373,0.00005949749,0.0001218368,0.0007451943,0.00003700256,0.0001997335,0.0009718108,0.9398338,0.00009152383],"study_design_scores_gemma":[0.0006100993,0.0001147634,0.6013393,0.0002362406,0.0001746447,0.00008882077,0.003138318,0.0001513198,0.00005470469,0.0002682382,0.3929563,0.0008672676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5929645,0.003905561,0.000527487,0.3539703,0.001516678,0.002735934,0.01482433,0.0006940445,0.02886115],"genre_scores_gemma":[0.8405344,0.00393053,0.00007847009,0.1127718,0.008397989,0.0005097624,0.02819245,0.0002157661,0.005368816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5468776,"threshold_uncertainty_score":0.999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710453925500827,"score_gpt":0.2303987129499416,"score_spread":0.1832941736949333,"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."}}