{"id":"W4413116398","doi":"10.1016/j.biosystems.2025.105553","title":"A biogenic principle within the constructal law: The flow of information in biological systems","year":2025,"lang":"en","type":"article","venue":"Biosystems","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Constructal law; Living systems; Corollary; Multicellular organism; Information flow; Flow (mathematics); Computer science; Second law of thermodynamics; Mathematical economics; Artificial intelligence; Mathematics; Biology; Mechanics; Physics; Pure mathematics; Thermodynamics","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":[0.002551639,0.000600802,0.0009888983,0.001769202,0.00164206,0.005596036,0.001620713,0.002966049,0.005101723],"category_scores_gemma":[0.00714785,0.0004838982,0.001124558,0.00130184,0.01875529,0.01539402,0.002697433,0.003710784,0.0008386484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771762,"about_ca_system_score_gemma":0.001512757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307778,"about_ca_topic_score_gemma":0.0006610718,"domain_scores_codex":[0.9986572,0.0004380927,0.00007833132,0.0003115173,0.0004306326,0.00008417832],"domain_scores_gemma":[0.9961576,0.002436332,0.0001600403,0.0006716452,0.0004382867,0.0001360534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004650783,0.000002463766,0.00004737966,0.00002169278,0.000004292322,0.00001699206,0.00008449029,0.0006199761,0.0001748465,0.9965223,0.0003255641,0.002175319],"study_design_scores_gemma":[0.0000054706,0.000007142374,0.00005304015,0.00001437448,0.000002744821,0.00003316462,0.00002013935,0.001817448,0.00014407,0.9948113,0.003085466,0.000005608065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02241183,0.006514581,0.8580595,0.02297588,0.001030034,0.00005884782,0.0002613844,0.0002784262,0.08840953],"genre_scores_gemma":[0.8086458,0.005532798,0.1638683,0.003541827,0.002805139,0.0003547179,0.0002439168,0.0003027988,0.01470458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005596036,"threshold_uncertainty_score":0.0170669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338967700772037,"score_gpt":0.2049230912253614,"score_spread":0.1915334142176411,"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."}}