{"id":"W4391747376","doi":"10.1002/bies.202300169","title":"The evosystem: A centerpiece for evolutionary studies","year":2024,"lang":"en","type":"article","venue":"BioEssays","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Sorbonne Université; Canadian Institute for Advanced Research","keywords":"Darwinism; Biology; Natural selection; Evolutionary dynamics; Evolutionary biology; Biological evolution; Evolutionary ecology; Constructive; Variety (cybernetics); Selection (genetic algorithm); Resistance (ecology); Variation (astronomy); Coevolution; Human evolutionary genetics; Experimental evolution; Ecology; Phylogenetics; Sociology; Gene; Genetics; Computer science; Population; Process (computing); Artificial intelligence","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":[0.01307483,0.0007135723,0.001659098,0.00238214,0.001874126,0.005805848,0.002311645,0.003742738,0.004879162],"category_scores_gemma":[0.01080734,0.0003246639,0.0008629119,0.001422486,0.03268561,0.02167032,0.005403165,0.009100835,0.0006648714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747442,"about_ca_system_score_gemma":0.001534396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007968408,"about_ca_topic_score_gemma":0.0003786684,"domain_scores_codex":[0.9951792,0.00287681,0.0001770397,0.001032759,0.000550249,0.0001839865],"domain_scores_gemma":[0.9880682,0.007610379,0.0007513309,0.002147568,0.0008771141,0.0005453688],"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":[0.00001060182,0.00001063448,0.00029319,0.00006678938,0.00001867496,0.00003189942,0.0003214766,0.0008835133,0.000253359,0.9882984,0.000688073,0.009123279],"study_design_scores_gemma":[0.000003493637,0.00001181292,0.000234023,0.00006222194,0.000004685349,0.00003104655,0.0002419693,0.001286064,0.00007923653,0.9813696,0.01666425,0.00001154693],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04672328,0.08225613,0.5647345,0.2342255,0.004164613,0.00008732633,0.0002898271,0.0004303714,0.06708848],"genre_scores_gemma":[0.82327,0.03288145,0.1136747,0.01369836,0.005929369,0.0002264237,0.0001708728,0.0003056517,0.00984305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01307483,"threshold_uncertainty_score":0.06914711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960083908737442,"score_gpt":0.3271639203485803,"score_spread":0.3075630812612059,"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."}}