{"id":"W4414763119","doi":"10.1101/2025.09.30.679561","title":"Bridging energy and ribosomal allocation models to predict the cost of traits in different environments","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Provisioning; Energy (signal processing); Resource (disambiguation); Quality (philosophy); Energy cost; Resource allocation; Bridging (networking)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001232859,0.0008220118,0.001070217,0.0009506153,0.0005890602,0.001801748,0.001718975,0.002229562,0.004334695],"category_scores_gemma":[0.004302925,0.0005457293,0.001024477,0.0008422149,0.001261837,0.002173082,0.001411788,0.001311439,0.0005105535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002310292,"about_ca_system_score_gemma":0.001102964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010712,"about_ca_topic_score_gemma":0.006441666,"domain_scores_codex":[0.9996234,0.0001437046,0.00001502497,0.00008377213,0.00004054743,0.00009349467],"domain_scores_gemma":[0.9977189,0.001590534,0.0002353382,0.00009316546,0.0001529932,0.0002090902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002464848,0.00003247347,0.00248804,0.00002456541,0.00002518353,0.00005626124,0.00001640135,0.9736995,0.0005373523,0.02068337,0.0005007469,0.001911416],"study_design_scores_gemma":[0.000006236094,0.00001028054,0.0007200903,0.000004952559,0.000007334103,0.00001345535,0.000009924487,0.9804513,0.00005805868,0.01849899,0.0002099123,0.000009390027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7061806,0.001717504,0.2676101,0.004034662,0.0001426653,0.00006966465,0.001088554,0.0002752005,0.01888098],"genre_scores_gemma":[0.9799819,0.0004915117,0.01439318,0.0002759926,0.00004807874,0.0001024085,0.0002999636,0.00008786996,0.004318943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010712,"threshold_uncertainty_score":0.0200966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241468579965184,"score_gpt":0.1949524404321793,"score_spread":0.1825377546325275,"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."}}