{"id":"W4384939953","doi":"10.1093/oso/9780198874522.003.0009","title":"Do-it-yourself speciation","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Novelty; Synthetic biology; CRISPR; Genetic algorithm; Selection (genetic algorithm); Biology; Evolutionary biology; Computer science; Computational biology; Artificial intelligence; Genetics; Gene; Philosophy","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":[0.00008640809,0.0003426549,0.000239238,0.00004704097,0.00004473539,0.00003572976,0.0002913389,0.0009514619,0.0006812209],"category_scores_gemma":[0.00007361214,0.0002912858,0.0002133091,0.00003196823,0.0001061528,0.000001480565,0.0002336625,0.0002317706,0.001013199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001660962,"about_ca_system_score_gemma":0.00006898135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000236501,"about_ca_topic_score_gemma":0.000009121216,"domain_scores_codex":[0.998566,0.000004570349,0.0002882558,0.0006454954,0.0002457701,0.0002498481],"domain_scores_gemma":[0.999195,0.00001388319,0.0001269866,0.0003965649,0.0001431499,0.0001244132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007075484,0.00003483434,0.00001221616,0.0001346383,0.0001924029,0.000008821897,0.000006869643,6.139497e-7,0.3158366,0.01610228,0.6617022,0.0058978],"study_design_scores_gemma":[0.0001663359,0.00009339388,0.000004819406,0.00006270262,0.00004326406,0.000006506903,0.000006479782,0.000001345207,0.2381648,0.009994047,0.7509739,0.000482462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004589792,0.0008918743,0.00009231683,0.0009629074,0.0003001971,0.0001782964,0.00008717512,0.00009102522,0.9969372],"genre_scores_gemma":[0.009551243,0.001714711,0.0001870683,0.0009733554,0.001728342,0.000009168102,0.001297004,0.00008910899,0.98445],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0892717,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251869290308246,"score_gpt":0.2474056729607517,"score_spread":0.2248869800576693,"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."}}