{"id":"W4407087977","doi":"10.1016/j.ecoinf.2025.103031","title":"Robustness and limitations of maximum entropy in plant community assembly","year":2025,"lang":"en","type":"article","venue":"Ecological Informatics","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Northern Alberta Institute of Technology; Natural Resources Canada; Canadian Forest Service","funders":"Universiteit Utrecht","keywords":"Robustness (evolution); Computer science; Entropy (arrow of time); Principle of maximum entropy; Biological system; Artificial intelligence; Biology; Physics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002930333,0.00008565026,0.0003589838,0.0003440795,0.0001649971,0.0001460581,0.0004759253,0.00009217891,0.0000500261],"category_scores_gemma":[0.009006388,0.00005567621,0.00005127399,0.0007125342,0.0000970949,0.000226796,0.0004237189,0.0002482649,0.00001368798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002903718,"about_ca_system_score_gemma":0.00004622557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002022435,"about_ca_topic_score_gemma":0.0004098933,"domain_scores_codex":[0.9977924,0.0002871756,0.001293919,0.00007194795,0.0003990697,0.0001554809],"domain_scores_gemma":[0.9876796,0.01145123,0.0002976941,0.0003475315,0.0001768764,0.00004707343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001859367,0.001239899,0.1347385,0.0001610772,0.00005658478,0.0000195295,0.01088678,0.08773477,0.0001600975,0.5688884,0.04087871,0.1550497],"study_design_scores_gemma":[0.0007395945,0.0001556849,0.5127575,0.00007336168,0.000006497969,0.000009347418,0.01597082,0.3357869,0.00002553097,0.1223779,0.01195905,0.000137743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319071,0.00004951306,0.04312659,0.0001604656,0.0001793031,0.000177621,0.00001233678,0.00001513507,0.02437191],"genre_scores_gemma":[0.9932331,0.00001116095,0.006324878,0.0002185299,0.000004486774,0.000007591199,0.000001996612,0.000001226344,0.00019701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4465105,"threshold_uncertainty_score":0.9993412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2645151650805336,"score_gpt":0.3878679446580772,"score_spread":0.1233527795775436,"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."}}