{"id":"W2072396808","doi":"10.1038/nrg1921","title":"From artificial evolution to computational evolution: a research agenda","year":2006,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Memorial University of Newfoundland","funders":"Francis Crick Institute","keywords":"Biology; Evolutionary biology; Computational biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001520077,0.0005860284,0.001478567,0.0006167828,0.000585165,0.0002768459,0.002424525,0.001039351,0.00003179449],"category_scores_gemma":[0.0001695312,0.0005188991,0.0006712985,0.003913251,0.0001113645,0.0001511413,0.0007737533,0.002097185,0.00211986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076461,"about_ca_system_score_gemma":0.001199101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005783853,"about_ca_topic_score_gemma":0.0000316856,"domain_scores_codex":[0.9940736,0.001012696,0.00149497,0.001477604,0.001252143,0.000688987],"domain_scores_gemma":[0.9964616,0.0004755502,0.0004745845,0.001675202,0.0006499017,0.0002631562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[4.914955e-7,0.0001149065,5.982899e-7,0.0008229712,0.00002686672,0.000004728992,0.00002113089,0.0002087445,7.247067e-7,0.04406506,0.08672465,0.8680092],"study_design_scores_gemma":[0.00004586898,0.00005079071,0.00002947568,0.002265711,0.000122245,0.00002428489,0.000002218996,0.002565053,2.688889e-7,0.02681591,0.9675924,0.0004858338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.500369e-7,0.6526899,0.3445018,0.0003041895,0.0005450755,0.00128668,0.0001770356,0.00008382433,0.0004112502],"genre_scores_gemma":[0.000003591633,0.806058,0.189749,0.00009531646,0.002424855,0.0006045139,0.0005787693,0.00004112691,0.0004447343],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8808677,"threshold_uncertainty_score":0.9997262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358435689049677,"score_gpt":0.4411245088382254,"score_spread":0.3052809399332577,"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."}}