{"id":"W4390985808","doi":"10.1111/1365-2745.14245","title":"Life history scaling in a tropical forest","year":2024,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nuclear Safety and Security Commission; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration; National Science Foundation","keywords":"Understory; Ecology; Interception; Species richness; Productivity; Forest dynamics; Old-growth forest; Life history theory; Canopy; Biology; Life history; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002052218,0.00004093907,0.0001235828,0.00007317399,0.00002078775,0.000003026625,0.00007625215,0.00006153633,0.001080277],"category_scores_gemma":[0.0002520363,0.00003362643,0.00004542989,0.00005780766,0.0001210511,0.00009018865,0.000041589,0.0002111224,0.00013097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416549,"about_ca_system_score_gemma":0.00005699717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005965567,"about_ca_topic_score_gemma":0.001664681,"domain_scores_codex":[0.9994824,0.00004713039,0.000236811,0.00006841588,0.00005424679,0.0001109853],"domain_scores_gemma":[0.9996732,0.0001804771,0.00005853007,0.0000290334,0.000005357113,0.00005344364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001713455,0.00004798524,0.9839646,0.000006720335,0.00001922529,0.0002011704,0.0004712946,0.004175558,0.00008619997,0.002221635,0.008434044,0.0003544649],"study_design_scores_gemma":[0.0001717112,0.00009845378,0.9773611,0.000007851016,0.000009987675,0.00006748091,0.00004996934,0.006271712,0.000001075758,0.003057083,0.01286728,0.00003625654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922646,0.0006531051,0.0002868159,0.002363426,0.001023913,0.00002572104,1.374445e-7,0.000004750986,0.003377578],"genre_scores_gemma":[0.9985523,0.00007450198,0.0004606452,0.0005464896,0.00006507948,0.000001794039,9.373623e-8,0.000003319632,0.000295805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006603432,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409709768111004,"score_gpt":0.2369724101054533,"score_spread":0.2228753124243432,"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."}}