{"id":"W4321493186","doi":"10.5194/egusphere-egu23-586","title":"Photosynthetic thermal acclimation capacity of tropical montane rainforest trees in Rwanda and in the Colombian Andes","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Photosynthesis; Acclimatization; Rainforest; Ecosystem; Climate change; Montane ecology; Environmental science; Photosynthetic capacity; Tropical rainforest; Ecology; Biomass (ecology); Tropical climate; Subtropics; Global warming; Tropics; Biology; Atmospheric sciences; Botany","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":[0.0001389262,0.0002845996,0.0003172679,0.000535899,0.0004029309,0.0005312939,0.0001967951,0.000162704,0.000666326],"category_scores_gemma":[0.0002316531,0.0001592625,0.0001904133,0.0003435145,0.0002654967,0.0002510149,0.0002621423,0.0002596524,0.0001110129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979193,"about_ca_system_score_gemma":0.0002119302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05113946,"about_ca_topic_score_gemma":0.09507336,"domain_scores_codex":[0.9998717,0.00001754119,0.000009473868,0.00004612945,0.0000164227,0.00003875771],"domain_scores_gemma":[0.9997858,0.00004305408,0.00006995889,0.00001520387,0.0000407486,0.00004520109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001216972,0.0001990267,0.4850576,0.0002838712,0.0001484802,0.0003107,0.003116478,0.0005813342,0.4938792,0.0002467896,0.0002586757,0.01470084],"study_design_scores_gemma":[0.000002881852,0.00003046071,0.9980705,0.000004595157,0.00001253534,0.00003359596,0.0002720327,0.0001044922,0.001246011,0.000006361463,0.0002122107,0.000004299298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991224,0.0001763287,0.00003892191,0.000007707402,0.000001961069,0.00000537817,0.0001464603,0.000004341939,0.0004965896],"genre_scores_gemma":[0.9993252,0.0000914906,0.00009814178,0.000009359643,0.000001685207,0.00001130103,0.0002356539,0.000002655958,0.0002245509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05113946,"threshold_uncertainty_score":0.1016836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988994837229143,"score_gpt":0.220012074764582,"score_spread":0.2001221263922905,"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."}}